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Biblioteca

MARC Lista (tabellare)
Artificial Immune Systems [[electronic resource] ] : 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012, Proceedings / / edited by Carlos A. Coello-Coello, Julie Greensmith, Natalio Krasnogor, Pietro Liò, Giuseppe Nicosia, Mario Pavone
Artificial Immune Systems [[electronic resource] ] : 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012, Proceedings / / edited by Carlos A. Coello-Coello, Julie Greensmith, Natalio Krasnogor, Pietro Liò, Giuseppe Nicosia, Mario Pavone
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XIX, 293 p. 84 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer simulation
Artificial intelligence
Computer science
Algorithms
Pattern recognition systems
Application software
Computer Modelling
Artificial Intelligence
Theory of Computation
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-642-33757-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Face Recognition by Searching Most Similar Sample with Immune Learning -- A Multi-Objective Artificial Immune System Based on Hypervolume -- A Comparative Study of Negative Selection Based Anomaly Detection in Sequence Data -- Immune-Inspired Self Healing in Wireless Sensor Networks -- A Beginner’s Guide to Systems Simulation in Immunology -- Clustering-Based Multi-objective Immune Optimization Evolutionary Algorithm -- Petri Nets Approach to Modeling of Immune System and Autism -- Mathematical Implementation of Interation between Malaria and Immune System -- Computing Longest Common Subsequences with the B-Cell Algorithm -- Bait a Trap: Introducing Natural Killer Cells to Artificial Immune System for Spyware Detection -- AC-CS: An Immune-Inspired Associative Classification Algorithm -- RC-DCA: A New Feature Selection and Signal Categorization Technique for the Dendritic Cell Algorithm Based on Rough Set Theory -- Artificial Immune Network Approach with Beta Differential Operator Applied to Optimization of Heat Exchangers -- A Negative Selection Approach to Intrusion Detection -- Clonal Expansion without Self-replicating Entities -- A Real Time Anomaly Detection System Based on Probabilistic Artificial Immune Systems -- CSA/IE: Novel Clonal Selection Algorithm with Information Exchange for High Dimensional Global Optimization Problems -- An Ecological Approach to Anomaly Detection: The EIA Model -- Rethinking Concepts of the Dendritic Cell Algorithm for Multiple Data Stream Analysis -- Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm -- Towards an Evolutionary Procedure for Reverse-Engineering Biological Networks -- Distributed Computing with Prokaryotic Immune Systems -- The Immune System as a Metaphor for Topology Driven Patterns Formation in Complex Systems.
Record Nr. UNISA-996465434603316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
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Artificial Immune Systems [[electronic resource] ] : 10th International Conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011. Proceedings / / edited by Pietro Lio, Giuseppe Nicosia, Thomas Stibor
Artificial Immune Systems [[electronic resource] ] : 10th International Conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011. Proceedings / / edited by Pietro Lio, Giuseppe Nicosia, Thomas Stibor
Edizione [1st ed. 2011.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
Descrizione fisica 1 online resource (XVI, 468 p. 143 illus., 64 illus. in color.)
Disciplina 003.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer simulation
Artificial intelligence
Computer science
Algorithms
Pattern recognition systems
Application software
Computer Modelling
Artificial Intelligence
Theory of Computation
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-642-22371-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996465718903316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
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Lo trovi qui: Univ. di Salerno
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Artificial Immune Systems [[electronic resource] ] : Third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004, Proceedings / / edited by Giuseppe Nicosia, Vincenzo Cutello, Peter John Bentley, Jonathan Ian Timmis
Artificial Immune Systems [[electronic resource] ] : Third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004, Proceedings / / edited by Giuseppe Nicosia, Vincenzo Cutello, Peter John Bentley, Jonathan Ian Timmis
Edizione [1st ed. 2004.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Descrizione fisica 1 online resource (XII, 448 p.)
Disciplina 006.3
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Computers
Algorithms
Database management
Information storage and retrieval
Bioinformatics
Artificial Intelligence
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Database Management
Information Storage and Retrieval
ISBN 3-540-30220-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applications of Artificial Immune Systems (Technical Stream) -- Negative Selection Algorithm for Aircraft Fault Detection -- A Hierarchical Immune Network Applied to Gene Expression Data -- Artificial Immune Regulation (AIR) for Model-Based Fault Diagnosis -- Optimal Circuit Design Using Immune Algorithm -- Conceptual, Formal, and Theoretical Frameworks (Conceptual Stream) -- Towards a Conceptual Framework for Artificial Immune Systems -- Immunologic Responses Manipulation of AIS Agents -- Optima, Extrema, and Artificial Immune Systems -- Artificial Immune Systems for Robotics (Technical Stream) -- An Immuno Control Framework for Decentralized Mechatronic Control -- AIS Based Robot Navigation in a Rescue Scenario -- Reactive Immune Network Based Mobile Robot Navigation -- Emerging Metaphors (Conceptual Stream) -- A Fractal Immune Network -- Nootropia: A User Profiling Model Based on a Self-Organising Term Network -- Towards Danger Theory Based Artificial APC Model: Novel Metaphor for Danger Susceptible Data Codons -- Online Negative Databases -- Special Session on Immunoinformatics -- Definition of MHC Supertypes Through Clustering of MHC Peptide Binding Repertoires -- BcePred: Prediction of Continuous B-Cell Epitopes in Antigenic Sequences Using Physico-chemical Properties -- Integration of Immune Models Using Petri Nets -- MHC Class I Epitope Binding Prediction Trained on Small Data Sets -- Theoretical and Experimental Studies on Artificial Immune Systems (Technical Stream) -- Convergence Analysis of a Multiobjective Artificial Immune System Algorithm -- A Comparison of Immune and Neural Computing for Two Real-Life Tasks of Pattern Recognition -- An Artificial Immune System Based Visual Analysis Model and Its Real-Time Terrain Surveillance Application -- Exploring the Capability of Immune Algorithms: A Characterization of Hypermutation Operators -- Future Applications (Conceptual Stream) -- Exploiting Immunological Properties for Ubiquitous Computing Systems -- A Robust Immune Based Approach to the Iterated Prisoner’s Dilemma -- Artificial Innate Immune System: An Instant Defence Layer of Embryonics -- Immune System Approaches to Intrusion Detection – A Review -- Multimodal Search with Immune Based Genetic Programming -- Networks (Technical Stream) -- An Artificial Immune System for Misbehavior Detection in Mobile Ad-Hoc Networks with Virtual Thymus, Clustering, Danger Signal, and Memory Detectors -- Developing Efficient Search Algorithms for P2P Networks Using Proliferation and Mutation -- Modelling (Conceptual Stream) -- A Game-Theoretic Approach to Artificial Immune Networks -- Modelling Immune Memory for Prediction and Computation -- Immunity Through Swarms: Agent-Based Simulations of the Human Immune System -- Distinguishing Properties of Artificial Immune Systems (Conceptual Stream) -- Studies on the Implications of Shape-Space Models for Idiotypic Networks -- Exploiting Parallelism Inherent in AIRS, an Artificial Immune Classifier -- An Overview of Computational and Theoretical Immunology.
Record Nr. UNISA-996465313503316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
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Artificial Immune Systems : Third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004, Proceedings / / edited by Giuseppe Nicosia, Vincenzo Cutello, Peter John Bentley, Jonathan Ian Timmis
Artificial Immune Systems : Third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004, Proceedings / / edited by Giuseppe Nicosia, Vincenzo Cutello, Peter John Bentley, Jonathan Ian Timmis
Edizione [1st ed. 2004.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Descrizione fisica 1 online resource (XII, 448 p.)
Disciplina 006.3
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Computer science
Algorithms
Database management
Information storage and retrieval systems
Bioinformatics
Artificial Intelligence
Theory of Computation
Database Management
Information Storage and Retrieval
ISBN 3-540-30220-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applications of Artificial Immune Systems (Technical Stream) -- Negative Selection Algorithm for Aircraft Fault Detection -- A Hierarchical Immune Network Applied to Gene Expression Data -- Artificial Immune Regulation (AIR) for Model-Based Fault Diagnosis -- Optimal Circuit Design Using Immune Algorithm -- Conceptual, Formal, and Theoretical Frameworks (Conceptual Stream) -- Towards a Conceptual Framework for Artificial Immune Systems -- Immunologic Responses Manipulation of AIS Agents -- Optima, Extrema, and Artificial Immune Systems -- Artificial Immune Systems for Robotics (Technical Stream) -- An Immuno Control Framework for Decentralized Mechatronic Control -- AIS Based Robot Navigation in a Rescue Scenario -- Reactive Immune Network Based Mobile Robot Navigation -- Emerging Metaphors (Conceptual Stream) -- A Fractal Immune Network -- Nootropia: A User Profiling Model Based on a Self-Organising Term Network -- Towards Danger Theory Based Artificial APC Model: Novel Metaphor for Danger Susceptible Data Codons -- Online Negative Databases -- Special Session on Immunoinformatics -- Definition of MHC Supertypes Through Clustering of MHC Peptide Binding Repertoires -- BcePred: Prediction of Continuous B-Cell Epitopes in Antigenic Sequences Using Physico-chemical Properties -- Integration of Immune Models Using Petri Nets -- MHC Class I Epitope Binding Prediction Trained on Small Data Sets -- Theoretical and Experimental Studies on Artificial Immune Systems (Technical Stream) -- Convergence Analysis of a Multiobjective Artificial Immune System Algorithm -- A Comparison of Immune and Neural Computing for Two Real-Life Tasks of Pattern Recognition -- An Artificial Immune System Based Visual Analysis Model and Its Real-Time Terrain Surveillance Application -- Exploring the Capability of Immune Algorithms: A Characterization of Hypermutation Operators -- Future Applications (Conceptual Stream) -- Exploiting Immunological Properties for Ubiquitous Computing Systems -- A Robust Immune Based Approach to the Iterated Prisoner’s Dilemma -- Artificial Innate Immune System: An Instant Defence Layer of Embryonics -- Immune System Approaches to Intrusion Detection – A Review -- Multimodal Search with Immune Based Genetic Programming -- Networks (Technical Stream) -- An Artificial Immune System for Misbehavior Detection in Mobile Ad-Hoc Networks with Virtual Thymus, Clustering, Danger Signal, and Memory Detectors -- Developing Efficient Search Algorithms for P2P Networks Using Proliferation and Mutation -- Modelling (Conceptual Stream) -- A Game-Theoretic Approach to Artificial Immune Networks -- Modelling Immune Memory for Prediction and Computation -- Immunity Through Swarms: Agent-Based Simulations of the Human Immune System -- Distinguishing Properties of Artificial Immune Systems (Conceptual Stream) -- Studies on the Implications of Shape-Space Models for Idiotypic Networks -- Exploiting Parallelism Inherent in AIRS, an Artificial Immune Classifier -- An Overview of Computational and Theoretical Immunology.
Record Nr. UNINA-9910144349603321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Learning and Intelligent Optimization [[electronic resource] ] : 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers / / edited by Giuseppe Nicosia, Panos Pardalos
Learning and Intelligent Optimization [[electronic resource] ] : 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers / / edited by Giuseppe Nicosia, Panos Pardalos
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XV, 470 p. 120 illus.)
Disciplina 006.31
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Numerical analysis
Artificial intelligence
Computer science—Mathematics
Discrete mathematics
Computer science
Numerical Analysis
Artificial Intelligence
Discrete Mathematics in Computer Science
Theory of Computation
ISBN 3-642-44973-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence -- Intelligent optimization for the minimum labelling spanning tree problem -- A Constraint Satisfaction Approach to Tractable Theory Induction -- Features for Exploiting Black-Box Optimization Problem Structure -- MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets -- Sharing Information in Parallel Search with Search Space Partitioning -- Fast Computation of the Multi-points Expected Improvement with Applications in Batch Selection -- R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection -- A Heuristic Algorithm for the Set Multicover Problem with Generalized Upper Bound Constraints -- A genetic algorithm approach for the multidimensional two-way number partitioning problem -- Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search -- Multi-objective optimization for relevant sub-graph extraction -- PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection -- Neutrality in the Graph Coloring Problem -- Kernel multi label vector optimization (kMLVO) - A unified multi-label classification formalism -- Robust Benchmark Set Selection for Boolean Constraint Solvers -- Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction -- A Fast and Adaptive Local Search Algorithm for Multi-Objective Optimization -- An Analysis of Hall-of-Fame Strategies in Competitive Coevolutionary Algorithms for Self-Learning in RTS Games -- Resources Optimization in (Video) Games: a Novel Approach to Teach Applied Mathematics -- CMF: a combinatorial tool to find composite motifs -- Hill-climbing Behaviour on Quantized NK-landscapes -- Neighbourhood Specification for Game Strategy Evolution in a Spatial Iterated Prisoners Dilemma Game -- A Study on the Specification of a Scalarizing Function in MOEA/D for Many-Objective Knapsack Problems -- Portfolio with Block Branching for Parallel SAT Solvers -- Parameter Setting with Dynamic Island Models -- A simulated annealing algorithm for the vehicle routing problem with time windows and synchronization constraints -- Solution of the maximum k-balanced subgraph problem -- Racing with a Fixed Budget and a Self-Adaptive Significance Level -- An efficient best response heuristic for a non-preemptive strictly periodic scheduling problem -- Finding an evolutionary solution to the game of Mastermind with good scaling behaviour -- A Fast Local Search Approach For Multiobjective problems -- Generating Customized Landscapes in Permutation-based Combinatorial Optimization Problems -- Multiobjective Evolution of Mixed Nash Equilibria -- Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop problem -- From Grammars to Parameters: Automatic Iterated Greedy Design for the Permutation Flow-shop Problem with Weighted Tardiness -- Architecture for Monitoring Learning Processes using Video Games -- Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning -- Evolutionary FSM-Based Agents for Playing Super Mario Game -- Identifying Key Algorithm Parameters and Instance Features using Forward Selection -- Using Racing to Automatically Configure Algorithms for Scaling Performance -- Algorithm Selection for the Graph Coloring Problem -- Batched Mode Hyper-heuristics -- Tuning algorithms for tackling large instances: An experimental protocol -- Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case Study in Quadratic Assignment Problem -- Practically Desirable Solutions Search on Multi-Objective Optimization -- Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Parallel Infrastructures -- Effects of Population Size on Selection and Scalability in Evolutionary Many-objective Optimization -- A novel feature selection method for classification using a fuzzy criterion.
Record Nr. UNISA-996465649703316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Learning and Intelligent Optimization : 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers / / edited by Giuseppe Nicosia, Panos Pardalos
Learning and Intelligent Optimization : 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers / / edited by Giuseppe Nicosia, Panos Pardalos
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XV, 470 p. 120 illus.)
Disciplina 006.31
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Numerical analysis
Artificial intelligence
Computer science - Mathematics
Discrete mathematics
Computer science
Numerical Analysis
Artificial Intelligence
Discrete Mathematics in Computer Science
Theory of Computation
ISBN 3-642-44973-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence -- Intelligent optimization for the minimum labelling spanning tree problem -- A Constraint Satisfaction Approach to Tractable Theory Induction -- Features for Exploiting Black-Box Optimization Problem Structure -- MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets -- Sharing Information in Parallel Search with Search Space Partitioning -- Fast Computation of the Multi-points Expected Improvement with Applications in Batch Selection -- R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection -- A Heuristic Algorithm for the Set Multicover Problem with Generalized Upper Bound Constraints -- A genetic algorithm approach for the multidimensional two-way number partitioning problem -- Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search -- Multi-objective optimization for relevant sub-graph extraction -- PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection -- Neutrality in the Graph Coloring Problem -- Kernel multi label vector optimization (kMLVO) - A unified multi-label classification formalism -- Robust Benchmark Set Selection for Boolean Constraint Solvers -- Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction -- A Fast and Adaptive Local Search Algorithm for Multi-Objective Optimization -- An Analysis of Hall-of-Fame Strategies in Competitive Coevolutionary Algorithms for Self-Learning in RTS Games -- Resources Optimization in (Video) Games: a Novel Approach to Teach Applied Mathematics -- CMF: a combinatorial tool to find composite motifs -- Hill-climbing Behaviour on Quantized NK-landscapes -- Neighbourhood Specification for Game Strategy Evolution in a Spatial Iterated Prisoners Dilemma Game -- A Study on the Specification of a Scalarizing Function in MOEA/D for Many-Objective Knapsack Problems -- Portfolio with Block Branching for Parallel SAT Solvers -- Parameter Setting with Dynamic Island Models -- A simulated annealing algorithm for the vehicle routing problem with time windows and synchronization constraints -- Solution of the maximum k-balanced subgraph problem -- Racing with a Fixed Budget and a Self-Adaptive Significance Level -- An efficient best response heuristic for a non-preemptive strictly periodic scheduling problem -- Finding an evolutionary solution to the game of Mastermind with good scaling behaviour -- A Fast Local Search Approach For Multiobjective problems -- Generating Customized Landscapes in Permutation-based Combinatorial Optimization Problems -- Multiobjective Evolution of Mixed Nash Equilibria -- Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop problem -- From Grammars to Parameters: Automatic Iterated Greedy Design for the Permutation Flow-shop Problem with Weighted Tardiness -- Architecture for Monitoring Learning Processes using Video Games -- Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning -- Evolutionary FSM-Based Agents for Playing Super Mario Game -- Identifying Key Algorithm Parameters and Instance Features using Forward Selection -- Using Racing to Automatically Configure Algorithms for Scaling Performance -- Algorithm Selection for the Graph Coloring Problem -- Batched Mode Hyper-heuristics -- Tuning algorithms for tackling large instances: An experimental protocol -- Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case Study in Quadratic Assignment Problem -- Practically Desirable Solutions Search on Multi-Objective Optimization -- Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Parallel Infrastructures -- Effects of Population Size on Selection and Scalability in Evolutionary Many-objective Optimization -- A novel feature selection method for classification using a fuzzy criterion.
Record Nr. UNINA-9910483941803321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning, Optimization, and Big Data [[electronic resource] ] : Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers / / edited by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton
Machine Learning, Optimization, and Big Data [[electronic resource] ] : Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers / / edited by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XXI, 600 p. 154 illus.)
Disciplina 006.31
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Artificial intelligence
Algorithms
Data mining
Computer science—Mathematics
Computer organization
Information Systems Applications (incl. Internet)
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
Mathematics of Computing
Computer Systems Organization and Communication Networks
ISBN 3-319-72926-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Cellular Networks -- 2.2 Modeling Approach -- 2.3 Framework Overview -- 3 Model Representation Format -- 4 From Reading to Model -- 4.1 Simple Interaction Translation -- 4.2 Translation of Translocation Interaction -- 4.3 Translation of Complexes -- 4.4 Translation of Nested Interactions -- 4.5 Translation of Direct and Indirect Interactions -- 4.6 Translation from Table Reading Output -- 5 Matching Reading and Modeling -- 5.1 Protein Families -- 5.2 Cell Type -- 5.3 Cellular Location -- 5.4 Contradicting Interaction Type -- 5.5 Negative Information -- 6 Case Study -- 7 Conclusion -- References -- Improving Support Vector Machines Performance Using Local Search -- 1 Introduction -- 2 Support Vector Machines -- 3 Iterated Local Search -- 4 Our ILS Method for SVM Parameters Tuning -- 5 Experimental Analysis -- 6 Conclusions and Future Research -- References -- Projective Approximation Based Quasi-Newton Methods -- 1 Introduction -- 2 Preliminaries -- 2.1 Notation Remarks -- 2.2 Quadratic Response Surface Methodology -- 2.3 Quasi-Newton Optimization Methods -- 3 Algorithm Descriptions -- 4 Theoretical Ground -- 5 Modelling -- 6 Conclusion -- A Proofs -- References -- Intra-feature Random Forest Clustering -- Abstract -- 1 Introduction -- 2 The Algorithm -- 3 Performance Evaluation -- 4 Conclusions -- References -- Dolphin Pod Optimization -- 1 Introduction -- 2 Dolphin Pod Optimization -- 3 DPO Setting Parameters -- 4 Performance Metrics -- 5 Numerical Results -- 5.1 Analytical Benchmark Functions -- 5.2 Hull-Form SBD Optimization Problem -- 6 Conclusions and Future Work -- References -- Contraction Clustering (RASTER) -- 1 Introduction -- 2 Problem Description.
2.1 The Clustering Problem -- 2.2 Motivating Use Case -- 2.3 Limitations of Common Clustering Methods -- 3 RASTER -- 3.1 High-Level Description -- 3.2 Tiles and RASTER Clusters -- 3.3 The Algorithm -- 3.4 Parallel RASTER -- 3.5 Generalizing to Higher Dimensions -- 3.6 Minimum Cluster Size in Disadvantageous Grid Layouts -- 4 Results -- 4.1 Ideal Data -- 4.2 Sample Datasets -- 4.3 Empirical Runtime -- 5 Related Work -- 6 Future Work -- References -- Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms -- 1 Introduction -- 2 Related Work -- 3 Deep Statistical Comparison -- 4 Results and Discussion -- 4.1 Experimental Setup -- 4.2 First Experiment -- 4.3 Second Experiment -- 5 Conclusion -- References -- On the Explicit Use of Enzyme-Substrate Reactions in Metabolic Pathway Analysis -- 1 Introduction -- 1.1 A Nash Equilibrium Approach to Metabolic Pathways -- 1.2 Element Mass Balances and Charge Balancing -- 2 Explicitly Incorporating Enzyme-Substrate Reactions -- 2.1 Enzyme-Substrate Reactions -- 2.2 An Example of Binding and Unbinding Reactions -- 2.3 Multiple Minima from Protein Docking -- 2.4 A Multi-scale Methodology for Including Enzyme-Substrate Reactions -- 2.5 Enzyme Activity -- 3 Numerical Results -- 4 Conclusions -- References -- A Comparative Study on Term Weighting Schemes for Text Classification -- 1 Introduction -- 2 Text Classification -- 3 Classifiers -- 4 Results and Discussion -- 4.1 Experiments -- 4.2 Evaluation -- 4.3 Results -- 5 Conclusion -- References -- Dual Convergence Estimates for a Family of Greedy Algorithms in Banach Spaces -- 1 Introduction -- 2 Greedy Algorithms -- 3 Primal Convergence Results -- 4 Duality Gap and Convergence Result -- 5 Conclusion -- References -- Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization.
1 Introduction -- 2 Dimensionality Reduction Methods -- 2.1 General Definitions and Assumptions -- 2.2 Principal Component Analysis -- 2.3 Kernel Principal Component Analysis -- 2.4 Local Principal Component Analysis -- 2.5 Deep Autoencoders -- 3 Shape Modification of a Destroyer Hull -- 4 Numerical Results -- 4.1 Evaluation Metrics -- 4.2 Evaluation of Design-Space Dimensionality Reduction Capabilities -- 5 Conclusions and Future Work -- References -- A Differential Evolution Algorithm to Develop Strategies for the Iterated Prisoner's Dilemma -- 1 Introduction -- 2 Differential Evolution: A Short Overview -- 3 Prisoner's Dilemma -- 3.1 Iterated PD and Benchmark Strategies -- 4 DE Develops IPD Strategies -- 4.1 The DE Approach with Memory -- 5 IPD Experiments -- 6 Conclusions -- References -- Automatic Creation of a Large and Polished Training Set for Sentiment Analysis on Twitter -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Training Set Creation -- 3.2 Classification -- 3.3 Dataset Pruning -- 4 Results -- 4.1 Test Set -- 4.2 Accuracy -- 5 Conclusion -- References -- Forecasting Natural Gas Flows in Large Networks -- 1 Introduction -- 1.1 Literature Review -- 1.2 The Data Set -- 1.3 Input Features -- 1.4 The Network -- 1.5 Evaluation -- 2 Recurrent Neural Network (RNN) with Design of Experiments (DOE) and Simulated Annealing -- 2.1 The Experiment -- 2.2 Optimal Design with Simulated Annealing -- 3 Recurrent Neural Network (RNN) with Genetic Algorithm (GA) -- 4 Conclusion -- References -- A Differential Evolution Algorithm to Semivectorial Bilevel Problems -- Abstract -- 1 Introduction -- 2 The SVBLP: Optimistic vs. Pessimistic Approaches -- 3 Optimistic and Pessimistic Frontiers -- 4 A Differential Evolution Algorithm for the SVBLP -- 5 Computational Experiment -- 6 Conclusions -- Acknowledgment -- References.
Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces -- 1 Introduction -- 2 Related Work on Transfer Learning in BCI -- 2.1 Ensembles -- 2.2 ELGI -- 3 Methodology -- 3.1 P300 Speller Paradigm -- 3.2 Dataset Recordings -- 3.3 Prefiltering -- 3.4 Classifier -- 3.5 Conditions -- 3.6 Compared Algorithms -- 4 Evolved ELGI Ensemble -- 5 Results -- 6 Discussion and Conclusion -- References -- Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch -- 1 Introduction -- 2 Optimization Problem Formulation -- 3 Performance Metrics -- 4 Hybrid Global/Local Deterministic Algorithm -- 4.1 MODPSO -- 4.2 DFMO -- 4.3 MODHA -- 4.4 Algorithm Parameters and Setup -- 5 Numerical Results -- 5.1 Analytical Benchmark Problems -- 5.2 High-Speed Catamaran Optimization -- 6 Conclusions and Future Work -- References -- Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety -- 1 Introduction -- 2 Multi-objective Optimization -- 2.1 Non-dominated Sorting Bee Colony Optimization -- 3 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) -- 4 Worker's Risk Perception and Caution -- 5 Problem Formulation -- 5.1 Objectives -- 5.2 Problem Formulation -- 6 Experiments and Discussion -- 6.1 Dataset -- 6.2 Setup of the Parameters -- 6.3 Optimization Results -- 7 Conclusion -- References -- Multi-objective Genetic Algorithm for Interior Lighting Design -- 1 Introduction -- 2 The Inverse Lighting Problem -- 2.1 Blender as Direct Engine -- 3 Multi-objective Optimization -- 3.1 Previous Related Works -- 3.2 NSGA-II -- 3.3 Fitness Evaluation and Constraint Handling -- 4 The Proposed Strategy -- 5 Results -- 5.1 Art Gallery -- 5.2 Office -- 6 Conclusions -- References.
An Elementary Approach to the Problem of Column Selection in a Rectangular Matrix -- 1 Introduction -- 1.1 Historical Background -- 1.2 Our Contribution -- 2 Proof of Theorem 1.5 -- 2.1 Suitable Choice of the Extracted Vectors -- 2.2 Controlling the Individual Eigenvalues -- 2.3 Controlling the Greatest Eigenvalue -- 2.4 Two Simple Examples -- 3 Computational Considerations -- 3.1 A Simple Algorithm -- 3.2 Scalability vs Accuracy -- 3.3 Extracting Representative Images from a Dataset -- 4 Conclusion -- References -- A Simple and Effective Lagrangian-Based Combinatorial Algorithm for S3VMs -- 1 Introduction and Related Work -- 1.1 The Semi-supervised Scenario -- 1.2 Continuous vs Combinatorial Approach -- 2 Lagrangian S3VM -- 2.1 Dealing with Hyper-parameters -- 2.2 Balance Constraint as a Guide -- 2.3 Inductive vs Transductive S3VMs -- 2.4 Method Details -- 3 Experiments -- 3.1 Algorithms -- 3.2 Datasets -- 3.3 Model Selection -- 3.4 Experimental Results -- 3.5 Technical Details -- 4 Conclusion and Remarks -- References -- A Heuristic Based on Fuzzy Inference Systems for Multiobjective IMRT Treatment Planning -- Abstract -- 1 Introduction -- 2 Brief Review of the Literature -- 3 Multiobjective Optimization Problem -- 4 Heuristic Procedure Based on FIS -- 5 Illustration of the Application of the Procedure -- 6 Conclusions -- Acknowledgments -- References -- Data-Driven Machine Learning Approach for Predicting Missing Values in Large Data Sets: A Comparison ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 System Design -- 3.1 Data Source and Data Preparation -- 3.2 Methods for Imputation of Missing Values -- 4 Performance Measurements and Results -- 4.1 Algorithms Tuning -- 4.2 Evaluation Measures -- 4.3 Results and Considerations -- 5 Proposed Imputation Approach -- 6 Conclusions -- References.
Mineral: Multi-modal Network Representation Learning.
Record Nr. UNISA-996465494703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Learning, Optimization, and Big Data : Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers / / edited by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton
Machine Learning, Optimization, and Big Data : Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers / / edited by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XXI, 600 p. 154 illus.)
Disciplina 006.31
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Artificial intelligence
Algorithms
Data mining
Computer science - Mathematics
Computer engineering
Computer networks
Computer and Information Systems Applications
Artificial Intelligence
Data Mining and Knowledge Discovery
Mathematics of Computing
Computer Engineering and Networks
ISBN 9783319729268
3319729268
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Cellular Networks -- 2.2 Modeling Approach -- 2.3 Framework Overview -- 3 Model Representation Format -- 4 From Reading to Model -- 4.1 Simple Interaction Translation -- 4.2 Translation of Translocation Interaction -- 4.3 Translation of Complexes -- 4.4 Translation of Nested Interactions -- 4.5 Translation of Direct and Indirect Interactions -- 4.6 Translation from Table Reading Output -- 5 Matching Reading and Modeling -- 5.1 Protein Families -- 5.2 Cell Type -- 5.3 Cellular Location -- 5.4 Contradicting Interaction Type -- 5.5 Negative Information -- 6 Case Study -- 7 Conclusion -- References -- Improving Support Vector Machines Performance Using Local Search -- 1 Introduction -- 2 Support Vector Machines -- 3 Iterated Local Search -- 4 Our ILS Method for SVM Parameters Tuning -- 5 Experimental Analysis -- 6 Conclusions and Future Research -- References -- Projective Approximation Based Quasi-Newton Methods -- 1 Introduction -- 2 Preliminaries -- 2.1 Notation Remarks -- 2.2 Quadratic Response Surface Methodology -- 2.3 Quasi-Newton Optimization Methods -- 3 Algorithm Descriptions -- 4 Theoretical Ground -- 5 Modelling -- 6 Conclusion -- A Proofs -- References -- Intra-feature Random Forest Clustering -- Abstract -- 1 Introduction -- 2 The Algorithm -- 3 Performance Evaluation -- 4 Conclusions -- References -- Dolphin Pod Optimization -- 1 Introduction -- 2 Dolphin Pod Optimization -- 3 DPO Setting Parameters -- 4 Performance Metrics -- 5 Numerical Results -- 5.1 Analytical Benchmark Functions -- 5.2 Hull-Form SBD Optimization Problem -- 6 Conclusions and Future Work -- References -- Contraction Clustering (RASTER) -- 1 Introduction -- 2 Problem Description.
2.1 The Clustering Problem -- 2.2 Motivating Use Case -- 2.3 Limitations of Common Clustering Methods -- 3 RASTER -- 3.1 High-Level Description -- 3.2 Tiles and RASTER Clusters -- 3.3 The Algorithm -- 3.4 Parallel RASTER -- 3.5 Generalizing to Higher Dimensions -- 3.6 Minimum Cluster Size in Disadvantageous Grid Layouts -- 4 Results -- 4.1 Ideal Data -- 4.2 Sample Datasets -- 4.3 Empirical Runtime -- 5 Related Work -- 6 Future Work -- References -- Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms -- 1 Introduction -- 2 Related Work -- 3 Deep Statistical Comparison -- 4 Results and Discussion -- 4.1 Experimental Setup -- 4.2 First Experiment -- 4.3 Second Experiment -- 5 Conclusion -- References -- On the Explicit Use of Enzyme-Substrate Reactions in Metabolic Pathway Analysis -- 1 Introduction -- 1.1 A Nash Equilibrium Approach to Metabolic Pathways -- 1.2 Element Mass Balances and Charge Balancing -- 2 Explicitly Incorporating Enzyme-Substrate Reactions -- 2.1 Enzyme-Substrate Reactions -- 2.2 An Example of Binding and Unbinding Reactions -- 2.3 Multiple Minima from Protein Docking -- 2.4 A Multi-scale Methodology for Including Enzyme-Substrate Reactions -- 2.5 Enzyme Activity -- 3 Numerical Results -- 4 Conclusions -- References -- A Comparative Study on Term Weighting Schemes for Text Classification -- 1 Introduction -- 2 Text Classification -- 3 Classifiers -- 4 Results and Discussion -- 4.1 Experiments -- 4.2 Evaluation -- 4.3 Results -- 5 Conclusion -- References -- Dual Convergence Estimates for a Family of Greedy Algorithms in Banach Spaces -- 1 Introduction -- 2 Greedy Algorithms -- 3 Primal Convergence Results -- 4 Duality Gap and Convergence Result -- 5 Conclusion -- References -- Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization.
1 Introduction -- 2 Dimensionality Reduction Methods -- 2.1 General Definitions and Assumptions -- 2.2 Principal Component Analysis -- 2.3 Kernel Principal Component Analysis -- 2.4 Local Principal Component Analysis -- 2.5 Deep Autoencoders -- 3 Shape Modification of a Destroyer Hull -- 4 Numerical Results -- 4.1 Evaluation Metrics -- 4.2 Evaluation of Design-Space Dimensionality Reduction Capabilities -- 5 Conclusions and Future Work -- References -- A Differential Evolution Algorithm to Develop Strategies for the Iterated Prisoner's Dilemma -- 1 Introduction -- 2 Differential Evolution: A Short Overview -- 3 Prisoner's Dilemma -- 3.1 Iterated PD and Benchmark Strategies -- 4 DE Develops IPD Strategies -- 4.1 The DE Approach with Memory -- 5 IPD Experiments -- 6 Conclusions -- References -- Automatic Creation of a Large and Polished Training Set for Sentiment Analysis on Twitter -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Training Set Creation -- 3.2 Classification -- 3.3 Dataset Pruning -- 4 Results -- 4.1 Test Set -- 4.2 Accuracy -- 5 Conclusion -- References -- Forecasting Natural Gas Flows in Large Networks -- 1 Introduction -- 1.1 Literature Review -- 1.2 The Data Set -- 1.3 Input Features -- 1.4 The Network -- 1.5 Evaluation -- 2 Recurrent Neural Network (RNN) with Design of Experiments (DOE) and Simulated Annealing -- 2.1 The Experiment -- 2.2 Optimal Design with Simulated Annealing -- 3 Recurrent Neural Network (RNN) with Genetic Algorithm (GA) -- 4 Conclusion -- References -- A Differential Evolution Algorithm to Semivectorial Bilevel Problems -- Abstract -- 1 Introduction -- 2 The SVBLP: Optimistic vs. Pessimistic Approaches -- 3 Optimistic and Pessimistic Frontiers -- 4 A Differential Evolution Algorithm for the SVBLP -- 5 Computational Experiment -- 6 Conclusions -- Acknowledgment -- References.
Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces -- 1 Introduction -- 2 Related Work on Transfer Learning in BCI -- 2.1 Ensembles -- 2.2 ELGI -- 3 Methodology -- 3.1 P300 Speller Paradigm -- 3.2 Dataset Recordings -- 3.3 Prefiltering -- 3.4 Classifier -- 3.5 Conditions -- 3.6 Compared Algorithms -- 4 Evolved ELGI Ensemble -- 5 Results -- 6 Discussion and Conclusion -- References -- Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch -- 1 Introduction -- 2 Optimization Problem Formulation -- 3 Performance Metrics -- 4 Hybrid Global/Local Deterministic Algorithm -- 4.1 MODPSO -- 4.2 DFMO -- 4.3 MODHA -- 4.4 Algorithm Parameters and Setup -- 5 Numerical Results -- 5.1 Analytical Benchmark Problems -- 5.2 High-Speed Catamaran Optimization -- 6 Conclusions and Future Work -- References -- Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety -- 1 Introduction -- 2 Multi-objective Optimization -- 2.1 Non-dominated Sorting Bee Colony Optimization -- 3 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) -- 4 Worker's Risk Perception and Caution -- 5 Problem Formulation -- 5.1 Objectives -- 5.2 Problem Formulation -- 6 Experiments and Discussion -- 6.1 Dataset -- 6.2 Setup of the Parameters -- 6.3 Optimization Results -- 7 Conclusion -- References -- Multi-objective Genetic Algorithm for Interior Lighting Design -- 1 Introduction -- 2 The Inverse Lighting Problem -- 2.1 Blender as Direct Engine -- 3 Multi-objective Optimization -- 3.1 Previous Related Works -- 3.2 NSGA-II -- 3.3 Fitness Evaluation and Constraint Handling -- 4 The Proposed Strategy -- 5 Results -- 5.1 Art Gallery -- 5.2 Office -- 6 Conclusions -- References.
An Elementary Approach to the Problem of Column Selection in a Rectangular Matrix -- 1 Introduction -- 1.1 Historical Background -- 1.2 Our Contribution -- 2 Proof of Theorem 1.5 -- 2.1 Suitable Choice of the Extracted Vectors -- 2.2 Controlling the Individual Eigenvalues -- 2.3 Controlling the Greatest Eigenvalue -- 2.4 Two Simple Examples -- 3 Computational Considerations -- 3.1 A Simple Algorithm -- 3.2 Scalability vs Accuracy -- 3.3 Extracting Representative Images from a Dataset -- 4 Conclusion -- References -- A Simple and Effective Lagrangian-Based Combinatorial Algorithm for S3VMs -- 1 Introduction and Related Work -- 1.1 The Semi-supervised Scenario -- 1.2 Continuous vs Combinatorial Approach -- 2 Lagrangian S3VM -- 2.1 Dealing with Hyper-parameters -- 2.2 Balance Constraint as a Guide -- 2.3 Inductive vs Transductive S3VMs -- 2.4 Method Details -- 3 Experiments -- 3.1 Algorithms -- 3.2 Datasets -- 3.3 Model Selection -- 3.4 Experimental Results -- 3.5 Technical Details -- 4 Conclusion and Remarks -- References -- A Heuristic Based on Fuzzy Inference Systems for Multiobjective IMRT Treatment Planning -- Abstract -- 1 Introduction -- 2 Brief Review of the Literature -- 3 Multiobjective Optimization Problem -- 4 Heuristic Procedure Based on FIS -- 5 Illustration of the Application of the Procedure -- 6 Conclusions -- Acknowledgments -- References -- Data-Driven Machine Learning Approach for Predicting Missing Values in Large Data Sets: A Comparison ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 System Design -- 3.1 Data Source and Data Preparation -- 3.2 Methods for Imputation of Missing Values -- 4 Performance Measurements and Results -- 4.1 Algorithms Tuning -- 4.2 Evaluation Measures -- 4.3 Results and Considerations -- 5 Proposed Imputation Approach -- 6 Conclusions -- References.
Mineral: Multi-modal Network Representation Learning.
Record Nr. UNINA-9910768197103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning, Optimization, and Big Data [[electronic resource] ] : Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers / / edited by Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia
Machine Learning, Optimization, and Big Data [[electronic resource] ] : Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers / / edited by Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XVIII, 456 p. 109 illus.)
Disciplina 006.31
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Algorithms
Computer system failures
Artificial intelligence
Pattern recognition
Data mining
Information Systems Applications (incl. Internet)
Algorithm Analysis and Problem Complexity
System Performance and Evaluation
Artificial Intelligence
Pattern Recognition
Data Mining and Knowledge Discovery
ISBN 3-319-51469-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine Learning -- Feature Selection -- Neural Networks -- Optimization -- Deep Learning -- Data Sciences -- Data Analytics -- Artificial Intelligence.
Record Nr. UNISA-996466082603316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Learning, Optimization, and Big Data : Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers / / edited by Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia
Machine Learning, Optimization, and Big Data : Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers / / edited by Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XVIII, 456 p. 109 illus.)
Disciplina 006.31
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Algorithms
Electronic digital computers - Evaluation
Artificial intelligence
Pattern recognition systems
Data mining
Computer and Information Systems Applications
System Performance and Evaluation
Artificial Intelligence
Automated Pattern Recognition
Data Mining and Knowledge Discovery
ISBN 3-319-51469-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine Learning -- Feature Selection -- Neural Networks -- Optimization -- Deep Learning -- Data Sciences -- Data Analytics -- Artificial Intelligence.
Record Nr. UNINA-9910483016203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui