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Adaptive and Natural Computing Algorithms [[electronic resource] ] : 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers / / edited by Ville Kolehmainen, Pekka Toivanen, Bartlomiej Beliczynski
| Adaptive and Natural Computing Algorithms [[electronic resource] ] : 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers / / edited by Ville Kolehmainen, Pekka Toivanen, Bartlomiej Beliczynski |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XVI, 630 p.) |
| Disciplina | 004n/a |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Life sciences Artificial intelligence Computer science Algorithms Software engineering User Interfaces and Human Computer Interaction Life Sciences Artificial Intelligence Theory of Computation Software Engineering |
| ISBN | 3-642-04921-4 |
| Classificazione |
DAT 708f
DAT 717f DAT 718f SS 4800 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation -- On Tractability of Neural-Network Approximation -- Handling Incomplete Data Using Evolution of Imputation Methods -- Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping -- Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons -- Some Enhancements to Orthonormal Approximation of 2D Functions -- Shortest Common Superstring Problem with Discrete Neural Networks -- A Methodology for Developing Nonlinear Models by Feedforward Neural Networks -- A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models -- Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models -- Parallel Implementations of Recurrent Neural Network Learning -- Growing Competitive Network for Tracking Objects in Video Sequences -- Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps -- Network Security Using Growing Hierarchical Self-Organizing Maps -- On Document Classification with Self-Organising Maps -- Evolutionary Computation -- A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices -- Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms -- Elitistic Evolution: An Efficient Heuristic for Global Optimization -- Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps -- Grid-Oriented Scatter Search Algorithm -- Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem -- Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation -- Time-Dependent Performance Comparison of Evolutionary Algorithms -- Multiobjective Genetic Programming for Nonlinear System Identification -- NEAT in HyperNEAT Substituted with Genetic Programming -- Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography -- Estimation of Sensor Network Topology Using Ant Colony Optimization -- Learning -- Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks -- A Hierarchical Classifier with Growing Neural Gas Clustering -- A Generative Model for Self/Non-self Discrimination in Strings -- On the Efficiency of Swap-Based Clustering -- Sum-of-Squares Based Cluster Validity Index and Significance Analysis -- Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators -- String Distances and Uniformities -- Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts -- Efficient Hold-Out for Subset of Regressors -- Improving Optimistic Exploration in Model-Free Reinforcement Learning -- Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning -- A Cat-Like Robot Real-Time Learning to Run -- Controlling the Experimental Three-Tank System via Support Vector Machines -- Feature-Based Clustering for Electricity Use Time Series Data -- The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex -- Soft Computing -- Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification -- Machine Tuning of Stable Analytical Fuzzy Predictive Controllers -- Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study -- Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models -- Dynamic Classifier Systems and Their Applications to Random Forest Ensembles -- A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs -- Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems -- Bioinformatics -- Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines -- Bayesian Dimension Reduction Models for Microarray Data -- Gene Selection for Cancer Classification through Ensemble of Methods -- Applications -- Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques -- A Novel Signal-Based Approach to Anomaly Detection in IDS Systems -- Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data -- Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling -- Gene Trajectory Clustering for Learning the Stock Market Sectors -- Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms -- Approximation Scheduling Algorithms for Solving Multi-objects Movement Synchronization Problem -- Automatic Segmentation of Bone Tissue in X-Ray Hand Images -- Automatic Morphing of Face Images -- A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources -- Visualizing Time Series State Changes with Prototype Based Clustering. |
| Record Nr. | UNISA-996465662903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adaptive and natural computing algorithms : 9th international conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009 : revised selected papers / / Mikko Kolehmainen, Pekka Toivanen, Bartlomiej Beliczynski (eds.)
| Adaptive and natural computing algorithms : 9th international conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009 : revised selected papers / / Mikko Kolehmainen, Pekka Toivanen, Bartlomiej Beliczynski (eds.) |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2009 |
| Descrizione fisica | 1 online resource (XVI, 630 p.) |
| Disciplina | 004n/a |
| Altri autori (Persone) |
BeliczynskiBartomiej
KolehmainenMikko ToivanenPekka |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Adaptive computing systems
Bioinformatics Computer algorithms Machine learning Neural computers Neural networks (Computer science) |
| ISBN | 3-642-04921-4 |
| Classificazione |
DAT 708f
DAT 717f DAT 718f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation -- On Tractability of Neural-Network Approximation -- Handling Incomplete Data Using Evolution of Imputation Methods -- Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping -- Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons -- Some Enhancements to Orthonormal Approximation of 2D Functions -- Shortest Common Superstring Problem with Discrete Neural Networks -- A Methodology for Developing Nonlinear Models by Feedforward Neural Networks -- A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models -- Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models -- Parallel Implementations of Recurrent Neural Network Learning -- Growing Competitive Network for Tracking Objects in Video Sequences -- Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps -- Network Security Using Growing Hierarchical Self-Organizing Maps -- On Document Classification with Self-Organising Maps -- Evolutionary Computation -- A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices -- Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms -- Elitistic Evolution: An Efficient Heuristic for Global Optimization -- Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps -- Grid-Oriented Scatter Search Algorithm -- Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem -- Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation -- Time-Dependent Performance Comparison of Evolutionary Algorithms -- Multiobjective Genetic Programming for Nonlinear System Identification -- NEAT in HyperNEAT Substituted with Genetic Programming -- Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography -- Estimation of Sensor Network Topology Using Ant Colony Optimization -- Learning -- Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks -- A Hierarchical Classifier with Growing Neural Gas Clustering -- A Generative Model for Self/Non-self Discrimination in Strings -- On the Efficiency of Swap-Based Clustering -- Sum-of-Squares Based Cluster Validity Index and Significance Analysis -- Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators -- String Distances and Uniformities -- Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts -- Efficient Hold-Out for Subset of Regressors -- Improving Optimistic Exploration in Model-Free Reinforcement Learning -- Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning -- A Cat-Like Robot Real-Time Learning to Run -- Controlling the Experimental Three-Tank System via Support Vector Machines -- Feature-Based Clustering for Electricity Use Time Series Data -- The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex -- Soft Computing -- Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification -- Machine Tuning of Stable Analytical Fuzzy Predictive Controllers -- Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study -- Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models -- Dynamic Classifier Systems and Their Applications to Random Forest Ensembles -- A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs -- Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems -- Bioinformatics -- Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines -- Bayesian Dimension Reduction Models for Microarray Data -- Gene Selection for Cancer Classification through Ensemble of Methods -- Applications -- Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques -- A Novel Signal-Based Approach to Anomaly Detection in IDS Systems -- Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data -- Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling -- Gene Trajectory Clustering for Learning the Stock Market Sectors -- Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms -- Approximation Scheduling Algorithms for Solving Multi-objects Movement Synchronization Problem -- Automatic Segmentation of Bone Tissue in X-Ray Hand Images -- Automatic Morphing of Face Images -- A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources -- Visualizing Time Series State Changes with Prototype Based Clustering. |
| Altri titoli varianti | ICANNGA 2009 |
| Record Nr. | UNINA-9910485044703321 |
| Berlin ; ; New York, : Springer, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Evolutionary Computing [[electronic resource] ] : EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG,Tübingen, Germany, April 15-17, 2009, Proceedings / / edited by Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Aniko Ekart, Anna I. Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang
| Applications of Evolutionary Computing [[electronic resource] ] : EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG,Tübingen, Germany, April 15-17, 2009, Proceedings / / edited by Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Aniko Ekart, Anna I. Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XXX, 831 p.) |
| Disciplina | 004n/a |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer programming
Computer networks Computer science Computers Computer science—Mathematics Programming Techniques Computer Communication Networks Theory of Computation Computer Hardware Mathematical Applications in Computer Science |
| ISBN | 3-642-01129-2 |
| Classificazione |
DAT 510f
DAT 530f DAT 718f MAT 919f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | EvoCOMNET Contributions -- EvoENVIRONMENT Contributions -- EvoFIN Contributions -- EvoGAMES Contributions -- EvoHOT Contributions -- EvoIASP Contributions -- EvoINTERACTION Contributions -- EvoMUSART Contributions -- EvoNUM Contributions -- EvoSTOC Contributions -- EvoTRANSLOG Contributions. |
| Record Nr. | UNISA-996466021203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computing : EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG,Tübingen, Germany, April 15-17, 2009, Proceedings / / edited by Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Aniko Ekart, Anna I. Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang
| Applications of Evolutionary Computing : EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG,Tübingen, Germany, April 15-17, 2009, Proceedings / / edited by Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Aniko Ekart, Anna I. Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XXX, 831 p.) |
| Disciplina | 004n/a |
| Altri autori (Persone) | GiacobiniMario |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer programming
Computer networks Computer science Computers Computer science - Mathematics Programming Techniques Computer Communication Networks Theory of Computation Computer Hardware Mathematical Applications in Computer Science |
| ISBN | 3-642-01129-2 |
| Classificazione |
DAT 510f
DAT 530f DAT 718f MAT 919f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | EvoCOMNET Contributions -- EvoENVIRONMENT Contributions -- EvoFIN Contributions -- EvoGAMES Contributions -- EvoHOT Contributions -- EvoIASP Contributions -- EvoINTERACTION Contributions -- EvoMUSART Contributions -- EvoNUM Contributions -- EvoSTOC Contributions -- EvoTRANSLOG Contributions. |
| Record Nr. | UNINA-9910483868403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Immune Systems [[electronic resource] ] : 8th International Conference, ICARIS 2009, York, UK, August 9-12, 2009, Proceedings / / edited by Paul S. Andrews, Jon Timmis, Nick D. L. Owens, Uwe Aickelin, Emma Hart, Andrew Hone, Andy Tyrrell
| Artificial Immune Systems [[electronic resource] ] : 8th International Conference, ICARIS 2009, York, UK, August 9-12, 2009, Proceedings / / edited by Paul S. Andrews, Jon Timmis, Nick D. L. Owens, Uwe Aickelin, Emma Hart, Andrew Hone, Andy Tyrrell |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XI, 343 p.) |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Algorithms Data mining Information storage and retrieval systems Bioinformatics Theory of Computation Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Computational and Systems Biology |
| ISBN |
1-280-38314-3
9786613561060 3-642-03246-X |
| Classificazione |
DAT 718f
SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Immune System Modeling -- Agent Based Modeling of Lung Metastasis-Immune System Competition -- Using UML to Model EAE and Its Regulatory Network -- Non-deterministic Explanation of Immune Responses: A Computer Model -- Dendritic Cell Trafficking: From Immunology to Engineering -- A Hybrid Agent Based and Differential Equation Model of Body Size Effects on Pathogen Replication and Immune System Response -- Nonself Detection in a Two-Component Cellular Frustrated System -- Questions of Function: Modelling the Emergence of Immune Response -- Object-Oriented Refactoring of Existing Immune Models -- Mathematical Model of HIV Superinfection and Comparative Drug Therapy -- Theoretical Aspects of Artificial Immune Systems -- Exploration of the Dendritic Cell Algorithm Using the Duration Calculus -- On AIRS and Clonal Selection for Machine Learning -- A Theoretical Analysis of Immune Inspired Somatic Contiguous Hypermutations for Function Optimization -- Comparing Different Aging Operators -- Efficient Algorithms for String-Based Negative Selection -- T Cell Receptor Signalling Inspired Kernel Density Estimation and Anomaly Detection -- Applied Artificial Immune Systems -- An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics -- An Immune-Inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal -- Application of AIS Based Classification Algorithms to Detect Overloaded Areas in Power System Networks -- Artificial Immune System Applied to the Multi-stage Transmission Expansion Planning -- Immune Learning in a Dynamic Information Environment -- Unsupervised Structure Damage Classification Based on the Data Clustering and Artificial Immune Pattern Recognition -- A Sense of ‘Danger’ for Windows Processes -- An Immunity Inspired Real-Time Cooperative Control Framework for Networked Multi-agent Systems -- Managing Diversity on an AIS That Solves 3-Colouring Problems -- An Error Propagation Algorithm for Ad Hoc Wireless Networks -- Grammar-Based Immune Programming for Symbolic Regression -- A New Algorithm Based on Negative Selection and Idiotypic Networks for Generating Parsimonious Detector Sets for Industrial Fault Detection Applications -- Parametric Modelling of a Flexible Plate Structure Using Artificial Immune System Algorithm -- A Hybrid Approach for Learning Concept Hierarchy from Malay Text Using GAHC and Immune Network -- An Immune Inspired Algorithm for Solving Dynamic Vehicle Dispatching Problem in a Port Container Terminal. |
| Record Nr. | UNISA-996465733603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Immune Systems : 8th International Conference, ICARIS 2009, York, UK, August 9-12, 2009, Proceedings / / edited by Paul S. Andrews, Jon Timmis, Nick D. L. Owens, Uwe Aickelin, Emma Hart, Andrew Hone, Andy Tyrrell
| Artificial Immune Systems : 8th International Conference, ICARIS 2009, York, UK, August 9-12, 2009, Proceedings / / edited by Paul S. Andrews, Jon Timmis, Nick D. L. Owens, Uwe Aickelin, Emma Hart, Andrew Hone, Andy Tyrrell |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XI, 343 p.) |
| Disciplina | 004.0151 |
| Altri autori (Persone) | AndrewsPaul S |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Algorithms Data mining Information storage and retrieval systems Bioinformatics Theory of Computation Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Computational and Systems Biology |
| ISBN |
9786613561060
9781280383144 1280383143 9783642032462 364203246X |
| Classificazione |
DAT 718f
SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Immune System Modeling -- Agent Based Modeling of Lung Metastasis-Immune System Competition -- Using UML to Model EAE and Its Regulatory Network -- Non-deterministic Explanation of Immune Responses: A Computer Model -- Dendritic Cell Trafficking: From Immunology to Engineering -- A Hybrid Agent Based and Differential Equation Model of Body Size Effects on Pathogen Replication and Immune System Response -- Nonself Detection in a Two-Component Cellular Frustrated System -- Questions of Function: Modelling the Emergence of Immune Response -- Object-Oriented Refactoring of Existing Immune Models -- Mathematical Model of HIV Superinfection and Comparative Drug Therapy -- Theoretical Aspects of Artificial Immune Systems -- Exploration of the Dendritic Cell Algorithm Using the Duration Calculus -- On AIRS and Clonal Selection for Machine Learning -- A Theoretical Analysis of Immune Inspired Somatic Contiguous Hypermutations for Function Optimization -- Comparing Different Aging Operators -- Efficient Algorithms for String-Based Negative Selection -- T Cell Receptor Signalling Inspired Kernel Density Estimation and Anomaly Detection -- Applied Artificial Immune Systems -- An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics -- An Immune-Inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal -- Application of AIS Based Classification Algorithms to Detect Overloaded Areas in Power System Networks -- Artificial Immune System Applied to the Multi-stage Transmission Expansion Planning -- Immune Learning in a Dynamic Information Environment -- Unsupervised Structure Damage Classification Based on the Data Clustering and Artificial Immune Pattern Recognition -- A Sense of ‘Danger’ for Windows Processes -- An Immunity Inspired Real-TimeCooperative Control Framework for Networked Multi-agent Systems -- Managing Diversity on an AIS That Solves 3-Colouring Problems -- An Error Propagation Algorithm for Ad Hoc Wireless Networks -- Grammar-Based Immune Programming for Symbolic Regression -- A New Algorithm Based on Negative Selection and Idiotypic Networks for Generating Parsimonious Detector Sets for Industrial Fault Detection Applications -- Parametric Modelling of a Flexible Plate Structure Using Artificial Immune System Algorithm -- A Hybrid Approach for Learning Concept Hierarchy from Malay Text Using GAHC and Immune Network -- An Immune Inspired Algorithm for Solving Dynamic Vehicle Dispatching Problem in a Port Container Terminal. |
| Record Nr. | UNINA-9910483766803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial life : borrowing from biology ; 4th Australian conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009 ; proceedings / / Kevin Korb, Marcus Randall, Tim Hendtlass (eds.)
| Artificial life : borrowing from biology ; 4th Australian conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009 ; proceedings / / Kevin Korb, Marcus Randall, Tim Hendtlass (eds.) |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2009 |
| Descrizione fisica | 1 online resource (XI, 283 p.) |
| Disciplina | 004n/a |
| Collana |
Lecture notes in computer science
Lecture notes in artificial intelligence |
| Soggetto topico |
Artificial life - Mathematical models
Artificial life - Simulation methods |
| ISBN |
9783642104275
3642104274 |
| Classificazione |
DAT 718f
SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Alife Art -- An Empirical Exploration of a Definition of Creative Novelty for Generative Art -- A New Definition of Creativity -- Genetically Optimized Architectural Designs for Control of Pedestrian Crowds -- Game Theory -- Co-evolutionary Learning in the N-player Iterated Prisoner’s Dilemma with a Structured Environment -- Evolving Cooperation in the N-player Prisoner’s Dilemma: A Social Network Model -- Using Misperception to Counteract Noise in the Iterated Prisoner’s Dilemma -- Evolution -- An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms -- Evolutionary Intelligence and Communication in Societies of Virtually Embodied Agents -- Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics -- Complex Systems -- Evaluation of the Effectiveness of Machine-Based Situation Assessment -- Experiments with the Universal Constructor in the DigiHive Environment -- Making a Self-feeding Structure by Assembly of Digital Organs -- Towards Tailored Communication Networks in Assemblies of Artificial Cells -- Biological Systems -- A Developmental System for Organic Form Synthesis -- Layered Random Inference Networks -- Modelling Hepatitis B Virus Antiviral Therapy and Drug Resistant Mutant Strains -- Multivesicular Assemblies as Real-World Testbeds for Embryogenic Evolutionary Systems -- Social Modelling -- Designing Adaptive Artificial Agents for an Economic Production and Conflict Model -- Emergent Societal Effects of Crimino-Social Forces in an Animat Agent Model -- Swarm Intelligence -- A Heterogeneous Particle Swarm -- An Analysis of Locust Swarms on Large Scale Global Optimization Problems -- Continuous Swarm Surveillance via Distributed Priority Maps -- Optimization in Fractal and Fractured Landscapes Using Locust Swarms -- Heuristics -- A Hybrid Extremal Optimisation Approach for the Bin Packing Problem -- Feedback of Delayed Rewards in XCS for Environments with Aliasing States -- Memetic Approaches for Optimizing Hidden Markov Models: A Case Study in Time Series Prediction -- The Effects of Different Kinds of Move in Differential Evolution Searches. |
| Record Nr. | UNINA-9910484713303321 |
| Berlin, : Springer, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Life: Borrowing from Biology [[electronic resource] ] : 4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009, Proceedings / / edited by Kevin B. Korb, Marcus Randall, Tim Hendtlass
| Artificial Life: Borrowing from Biology [[electronic resource] ] : 4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009, Proceedings / / edited by Kevin B. Korb, Marcus Randall, Tim Hendtlass |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XI, 283 p.) |
| Disciplina | 004n/a |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer simulation Bioinformatics Optical data processing Computers Computer organization Artificial Intelligence Simulation and Modeling Computational Biology/Bioinformatics Computer Imaging, Vision, Pattern Recognition and Graphics Computation by Abstract Devices Computer Systems Organization and Communication Networks |
| Soggetto genere / forma |
Kongress.
Melbourne (2009) |
| ISBN | 3-642-10427-4 |
| Classificazione |
DAT 718f
SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Alife Art -- An Empirical Exploration of a Definition of Creative Novelty for Generative Art -- A New Definition of Creativity -- Genetically Optimized Architectural Designs for Control of Pedestrian Crowds -- Game Theory -- Co-evolutionary Learning in the N-player Iterated Prisoner’s Dilemma with a Structured Environment -- Evolving Cooperation in the N-player Prisoner’s Dilemma: A Social Network Model -- Using Misperception to Counteract Noise in the Iterated Prisoner’s Dilemma -- Evolution -- An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms -- Evolutionary Intelligence and Communication in Societies of Virtually Embodied Agents -- Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics -- Complex Systems -- Evaluation of the Effectiveness of Machine-Based Situation Assessment -- Experiments with the Universal Constructor in the DigiHive Environment -- Making a Self-feeding Structure by Assembly of Digital Organs -- Towards Tailored Communication Networks in Assemblies of Artificial Cells -- Biological Systems -- A Developmental System for Organic Form Synthesis -- Layered Random Inference Networks -- Modelling Hepatitis B Virus Antiviral Therapy and Drug Resistant Mutant Strains -- Multivesicular Assemblies as Real-World Testbeds for Embryogenic Evolutionary Systems -- Social Modelling -- Designing Adaptive Artificial Agents for an Economic Production and Conflict Model -- Emergent Societal Effects of Crimino-Social Forces in an Animat Agent Model -- Swarm Intelligence -- A Heterogeneous Particle Swarm -- An Analysis of Locust Swarms on Large Scale Global Optimization Problems -- Continuous Swarm Surveillance via Distributed Priority Maps -- Optimization in Fractal and Fractured Landscapes Using Locust Swarms -- Heuristics -- A Hybrid Extremal Optimisation Approach for the Bin Packing Problem -- Feedback of Delayed Rewards in XCS for Environments with Aliasing States -- Memetic Approaches for Optimizing Hidden Markov Models: A Case Study in Time Series Prediction -- The Effects of Different Kinds of Move in Differential Evolution Searches. |
| Record Nr. | UNISA-996465584903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics and Computational Biology [[electronic resource] ] : First International Conference, BICoB 2009, New Orleans, LA, USA, April 8-10, 2009, Proceedings / / edited by Sanguthevar Rajasekaran
| Bioinformatics and Computational Biology [[electronic resource] ] : First International Conference, BICoB 2009, New Orleans, LA, USA, April 8-10, 2009, Proceedings / / edited by Sanguthevar Rajasekaran |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XIV, 450 p.) |
| Disciplina | 570 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Life sciences
Computers Data mining Bioinformatics Artificial intelligence Information storage and retrieval Life Sciences, general Theory of Computation Data Mining and Knowledge Discovery Computational Biology/Bioinformatics Artificial Intelligence Information Storage and Retrieval |
| Soggetto genere / forma |
Kongress.
New Orleans (La., 2009) |
| ISBN | 3-642-00727-9 |
| Classificazione |
BIO 110f
BIO 180f DAT 718f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Association Analysis Techniques for Bioinformatics Problems -- Analyzing and Interrogating Biological Networks (Abstract) -- From Architecture to Function (and Back) in Bio-networks -- A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants -- Assembly of Large Genomes from Paired Short Reads -- Amino Acid Classification and Hash Seeds for Homology Search -- Genotype and Haplotype Reconstruction from Low-Coverage Short Sequencing Reads -- Gene Networks Viewed through Two Models -- Identifying Evolutionarily Conserved Protein Interaction Modules Using GraphHopper -- The 2-Interval Pattern Matching Problems and Its Application to ncRNA Scanning -- Refereed Papers -- RNA Pseudoknot Folding through Inference and Identification Using TAGRNA -- Comparing Bacterial Genomes by Searching Their Common Intervals -- Generalized Binary Tanglegrams: Algorithms and Applications -- Three-Dimensional Multimodality Modelling by Integration of High-Resolution Interindividual Atlases and Functional MALDI-IMS Data -- Detecting Motifs in a Large Data Set: Applying Probabilistic Insights to Motif Finding -- A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets -- Computational Protocol for Screening GPI-anchored Proteins -- Towards Large-Scale Molecular Dynamics Simulations on Graphics Processors -- An Agent-Based Model of Solid Tumor Progression -- Deciphering Drug Action and Escape Pathways: An Example on Nasopharyngeal Carcinoma -- Selection of Multiple SNPs in Case-Control Association Study Using a Discretized Network Flow Approach -- Biclustering Expression Data Based on Expanding Localized Substructures -- Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Prediction -- Improving Protein Localization Prediction Using Amino Acid Group Based Physichemical Encoding -- The Impact of Gene Selection on Imbalanced Microarray Expression Data -- Spatial Information and Boolean Genetic Regulatory Networks -- Modeling of Genetic Regulatory Network in Stochastic ?-Calculus -- fMRI Activation Detection by MultiScale Hidden Markov Model -- cnF2freq: Efficient Determination of Genotype and Haplotype Probabilities in Outbred Populations Using Markov Models -- A Comprehensive Analysis Workflow for Genome-Wide Screening Data from ChIP-Sequencing Experiments -- A Fitness Distance Correlation Measure for Evolutionary Trees -- Alignment and Analysis of Closely Related Genomes -- Computational Prediction of Genes Translationally Regulated by Cytoplasmic Polyadenylation Elements -- Multiple Sequence Alignment System for Pyrosequencing Reads -- A Bayesian Approach to High-Throughput Biological Model Generation -- Parallel Selection of Informative Genes for Classification -- Simulation Methods in Uncovering New Regulatory Mechanisms in Signaling Pathways -- GridSPiM: A Framework for Simple Locality and Containment in the Stochastic ?-Calculus -- Mutual Information Based Extrinsic Similarity for Microarray Analysis -- Graph Spectral Approach for Identifying Protein Domains. |
| Record Nr. | UNISA-996466019303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics and Computational Biology : First International Conference, BICoB 2009, New Orleans, LA, USA, April 8-10, 2009. Proceedings / / Sanguthevar Rajasekaran (ed.)
| Bioinformatics and Computational Biology : First International Conference, BICoB 2009, New Orleans, LA, USA, April 8-10, 2009. Proceedings / / Sanguthevar Rajasekaran (ed.) |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer, c2009 |
| Descrizione fisica | 1 online resource (XIV, 450 p.) |
| Disciplina | 570 |
| Altri autori (Persone) | RajasekaranSanguthevar |
| Collana |
Lecture notes in computer science
Lecture notes in bioinformatics |
| Soggetto topico |
Bioinformatics
Computational biology |
| ISBN | 3-642-00727-9 |
| Classificazione |
BIO 110f
BIO 180f DAT 718f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Association Analysis Techniques for Bioinformatics Problems -- Analyzing and Interrogating Biological Networks (Abstract) -- From Architecture to Function (and Back) in Bio-networks -- A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants -- Assembly of Large Genomes from Paired Short Reads -- Amino Acid Classification and Hash Seeds for Homology Search -- Genotype and Haplotype Reconstruction from Low-Coverage Short Sequencing Reads -- Gene Networks Viewed through Two Models -- Identifying Evolutionarily Conserved Protein Interaction Modules Using GraphHopper -- The 2-Interval Pattern Matching Problems and Its Application to ncRNA Scanning -- Refereed Papers -- RNA Pseudoknot Folding through Inference and Identification Using TAGRNA -- Comparing Bacterial Genomes by Searching Their Common Intervals -- Generalized Binary Tanglegrams: Algorithms and Applications -- Three-Dimensional Multimodality Modelling by Integration of High-Resolution Interindividual Atlases and Functional MALDI-IMS Data -- Detecting Motifs in a Large Data Set: Applying Probabilistic Insights to Motif Finding -- A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets -- Computational Protocol for Screening GPI-anchored Proteins -- Towards Large-Scale Molecular Dynamics Simulations on Graphics Processors -- An Agent-Based Model of Solid Tumor Progression -- Deciphering Drug Action and Escape Pathways: An Example on Nasopharyngeal Carcinoma -- Selection of Multiple SNPs in Case-Control Association Study Using a Discretized Network Flow Approach -- Biclustering Expression Data Based on Expanding Localized Substructures -- Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Prediction -- Improving Protein Localization Prediction Using Amino Acid Group Based Physichemical Encoding -- The Impact of Gene Selection on Imbalanced Microarray Expression Data -- Spatial Information and Boolean Genetic Regulatory Networks -- Modeling of Genetic Regulatory Network in Stochastic ?-Calculus -- fMRI Activation Detection by MultiScale Hidden Markov Model -- cnF2freq: Efficient Determination of Genotype and Haplotype Probabilities in Outbred Populations Using Markov Models -- A Comprehensive Analysis Workflow for Genome-Wide Screening Data from ChIP-Sequencing Experiments -- A Fitness Distance Correlation Measure for Evolutionary Trees -- Alignment and Analysis of Closely Related Genomes -- Computational Prediction of Genes Translationally Regulated by Cytoplasmic Polyadenylation Elements -- Multiple Sequence Alignment System for Pyrosequencing Reads -- A Bayesian Approach to High-Throughput Biological Model Generation -- Parallel Selection of Informative Genes for Classification -- Simulation Methods in Uncovering New Regulatory Mechanisms in Signaling Pathways -- GridSPiM: A Framework for Simple Locality and Containment in the Stochastic ?-Calculus -- Mutual Information Based Extrinsic Similarity for Microarray Analysis -- Graph Spectral Approach for Identifying Protein Domains. |
| Altri titoli varianti | BICoB 2009 |
| Record Nr. | UNINA-9910483269603321 |
| Berlin ; ; Heidelberg, : Springer, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
