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Applications / / edited by Katharina Morik, Jörg Rahnenführer, Christian Wietfeld
| Applications / / edited by Katharina Morik, Jörg Rahnenführer, Christian Wietfeld |
| Pubbl/distr/stampa | Berlin : , : De Gruyter, , 2022 |
| Descrizione fisica | 1 online resource (478 pages) : illustrations |
| Disciplina | 004 |
| Collana | De Gruyter STEM |
| Soggetto topico | Information technology |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910645946003321 |
| Berlin : , : De Gruyter, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Sustainability / / edited by Jörg Lässig, Kristian Kersting, Katharina Morik
| Computational Sustainability / / edited by Jörg Lässig, Kristian Kersting, Katharina Morik |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (VI, 276 p. 98 illus., 75 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Application software Energy efficiency Software engineering Management Industrial management Computational Intelligence Information Systems Applications (incl. Internet) Energy Efficiency Software Engineering Innovation/Technology Management |
| ISBN | 3-319-31858-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sustainable Development and Computing - an Introduction -- Wind Power Prediction with Machine Learning -- Statistical Learning for Short-Term Photovoltaic Power Predictions -- Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone Networks -- A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction -- Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants -- Global Monitoring of Inland Water Dynamics: State-of-the-art, Challenges, and Opportunities -- Installing Electric Vehicle Charging Stations City-Scale: How Many and Where? -- Computationally Efficient Design Optimization of Compact Microwave and Antenna Structures -- Sustainable Industrial Processes by Embedded Real-Time Quality Prediction -- Relational Learning for Sustainable Health -- ARM Cluster for Performant and Energy-efficient Storage. |
| Record Nr. | UNINA-9910254251703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Representation and Organization in Machine Learning [[electronic resource] /] / edited by Katharina Morik
| Knowledge Representation and Organization in Machine Learning [[electronic resource] /] / edited by Katharina Morik |
| Edizione | [1st ed. 1989.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1989 |
| Descrizione fisica | 1 online resource (XVIII, 322 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 3-540-46081-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Explanation: A source of guidance for knowledge representation -- (Re)presentation issues in second generation expert systems -- Some aspects of learning and reorganization in an analogical representation -- A knowledge-intensive learning system for document retrieval -- Constructing expert systems as building mental models or toward a cognitive ontology for expert systems -- Sloppy modeling -- The central role of explanations in disciple -- An inference engine for representing multiple theories -- The acquisition of model-knowledge for a model-driven machine learning approach -- Using attribute dependencies for rule learning -- Learning disjunctive concepts -- The use of analogy in incremental SBL -- Knowledge base refinement using apprenticeship learning techniques -- Creating high level knowledge structures from simple elements -- Demand-driven concept formation. |
| Record Nr. | UNISA-996465318903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1989 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Local Pattern Detection [[electronic resource] ] : International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers / / edited by Katharina Morik, Jean-Francois Boulicaut, Arno Siebes
| Local Pattern Detection [[electronic resource] ] : International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers / / edited by Katharina Morik, Jean-Francois Boulicaut, Arno Siebes |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XI, 233 p.) |
| Disciplina | 006.3/12 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Algorithms Mathematical statistics Database management Information storage and retrieval Artificial Intelligence Data Structures and Information Theory Algorithm Analysis and Problem Complexity Probability and Statistics in Computer Science Database Management Information Storage and Retrieval |
| ISBN | 9783540318941 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pushing Constraints to Detect Local Patterns -- From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms -- Pattern Discovery Tools for Detecting Cheating in Student Coursework -- Local Pattern Detection and Clustering -- Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery -- Visualizing Very Large Graphs Using Clustering Neighborhoods -- Features for Learning Local Patterns in Time-Stamped Data -- Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data Analysis -- Local Pattern Discovery in Array-CGH Data -- Learning with Local Models -- Knowledge-Based Sampling for Subgroup Discovery -- Temporal Evolution and Local Patterns -- Undirected Exception Rule Discovery as Local Pattern Detection -- From Local to Global Analysis of Music Time Series. |
| Record Nr. | UNISA-996466161503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Local pattern detection : international seminar, Dagstuhl Castle, Germany, April 12-16, 2004 : revised selected papers / / Katharina Morik, Jean- Francois Boulicaut, Arno Siebes (eds.)
| Local pattern detection : international seminar, Dagstuhl Castle, Germany, April 12-16, 2004 : revised selected papers / / Katharina Morik, Jean- Francois Boulicaut, Arno Siebes (eds.) |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2005 |
| Descrizione fisica | 1 online resource (XI, 233 p.) |
| Disciplina | 006.3/12 |
| Altri autori (Persone) |
MorikKatharina
BoulicautJean-Francois SiebesArno <1958-> |
| Collana |
Lecture notes in computer scienceLecture notes in artificial intelligence
State-of-the-art survey |
| Soggetto topico |
Data mining
Pattern recognition systems |
| ISBN | 9783540318941 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pushing Constraints to Detect Local Patterns -- From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms -- Pattern Discovery Tools for Detecting Cheating in Student Coursework -- Local Pattern Detection and Clustering -- Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery -- Visualizing Very Large Graphs Using Clustering Neighborhoods -- Features for Learning Local Patterns in Time-Stamped Data -- Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data Analysis -- Local Pattern Discovery in Array-CGH Data -- Learning with Local Models -- Knowledge-Based Sampling for Subgroup Discovery -- Temporal Evolution and Local Patterns -- Undirected Exception Rule Discovery as Local Pattern Detection -- From Local to Global Analysis of Music Time Series. |
| Record Nr. | UNINA-9910484781003321 |
| Berlin ; ; New York, : Springer, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning and knowledge discovery in databases : European Conference, Antwerp, Belgium, September 15-19, 2008, proceedings, Part II / / Walter Daelemans and Katharina Morik, editors
| Machine learning and knowledge discovery in databases : European Conference, Antwerp, Belgium, September 15-19, 2008, proceedings, Part II / / Walter Daelemans and Katharina Morik, editors |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Germany : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XXIII, 698 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Machine learning |
| ISBN | 3-540-87481-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Regular Papers -- Exceptional Model Mining -- A Joint Topic and Perspective Model for Ideological Discourse -- Effective Pruning Techniques for Mining Quasi-Cliques -- Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain -- Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs -- A New Natural Policy Gradient by Stationary Distribution Metric -- Towards Machine Learning of Grammars and Compilers of Programming Languages -- Improving Classification with Pairwise Constraints: A Margin-Based Approach -- Metric Learning: A Support Vector Approach -- Support Vector Machines, Data Reduction, and Approximate Kernel Matrices -- Mixed Bregman Clustering with Approximation Guarantees -- Hierarchical, Parameter-Free Community Discovery -- A Genetic Algorithm for Text Classification Rule Induction -- Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness -- Kernel-Based Inductive Transfer -- State-Dependent Exploration for Policy Gradient Methods -- Client-Friendly Classification over Random Hyperplane Hashes -- Large-Scale Clustering through Functional Embedding -- Clustering Distributed Sensor Data Streams -- A Novel Scalable and Data Efficient Feature Subset Selection Algorithm -- Robust Feature Selection Using Ensemble Feature Selection Techniques -- Effective Visualization of Information Diffusion Process over Complex Networks -- Actively Transfer Domain Knowledge -- A Unified View of Matrix Factorization Models -- Parallel Spectral Clustering -- Classification of Multi-labeled Data: A Generative Approach -- Pool-Based Agnostic Experiment Design in Linear Regression -- Distribution-Free Learning of Bayesian Network Structure -- Assessing Nonlinear Granger Causality from Multivariate Time Series -- Clustering Via Local Regression -- Decomposable Families of Itemsets -- Transferring Instances for Model-Based Reinforcement Learning -- A Simple Model for Sequences of Relational State Descriptions -- Semi-Supervised Boosting for Multi-Class Classification -- A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis -- Transferred Dimensionality Reduction -- Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model -- Estimating Sales Opportunity Using Similarity-Based Methods -- Learning MDP Action Models Via Discrete Mixture Trees -- Continuous Time Bayesian Networks for Host Level Network Intrusion Detection -- Data Streaming with Affinity Propagation -- Semi-supervised Discriminant Analysis Via CCCP -- Demo Papers -- A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains -- Pleiades: Subspace Clustering and Evaluation -- SEDiL: Software for Edit Distance Learning -- Monitoring Patterns through an Integrated Management and Mining Tool -- A Knowledge-Based Digital Dashboard for Higher Learning Institutions -- SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model. |
| Record Nr. | UNISA-996465573203316 |
| Berlin, Germany : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine learning and knowledge discovery in databases. : European conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008 : proceedings, Part 1 / / Walter Daelemans, Bart Goethals, Katharina Morik, (editors)
| Machine learning and knowledge discovery in databases. : European conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008 : proceedings, Part 1 / / Walter Daelemans, Bart Goethals, Katharina Morik, (editors) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XXIV, 692 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Machine learning |
| ISBN | 3-540-87479-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks (Abstracts) -- Industrializing Data Mining, Challenges and Perspectives -- From Microscopy Images to Models of Cellular Processes -- Data Clustering: 50 Years Beyond K-means -- Learning Language from Its Perceptual Context -- The Role of Hierarchies in Exploratory Data Mining -- Machine Learning Journal Abstracts -- Rollout Sampling Approximate Policy Iteration -- New Closed-Form Bounds on the Partition Function -- Large Margin vs. Large Volume in Transductive Learning -- Incremental Exemplar Learning Schemes for Classification on Embedded Devices -- A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity -- A Critical Analysis of Variants of the AUC -- Improving Maximum Margin Matrix Factorization -- Data Mining and Knowledge Discovery Journal Abstracts -- Finding Reliable Subgraphs from Large Probabilistic Graphs -- A Space Efficient Solution to the Frequent String Mining Problem for Many Databases -- The Boolean Column and Column-Row Matrix Decompositions -- SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs -- Mining Conjunctive Sequential Patterns -- Adequate Condensed Representations of Patterns -- Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data -- Regular Papers -- TOPTMH: Topology Predictor for Transmembrane ?-Helices -- Learning to Predict One or More Ranks in Ordinal Regression Tasks -- Cascade RSVM in Peer-to-Peer Networks -- An Algorithm for Transfer Learning in a Heterogeneous Environment -- Minimum-Size Bases of Association Rules -- Combining Classifiers through Triplet-Based Belief Functions -- An Improved Multi-task Learning Approach with Applications in Medical Diagnosis -- Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis -- Sequence Labelling SVMs Trained in One Pass -- Semi-supervised Classification from Discriminative Random Walks -- Learning Bidirectional Similarity for Collaborative Filtering -- Bootstrapping Information Extraction from Semi-structured Web Pages -- Online Multiagent Learning against Memory Bounded Adversaries -- Scalable Feature Selection for Multi-class Problems -- Learning Decision Trees for Unbalanced Data -- Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities -- A Fast Method for Training Linear SVM in the Primal -- On the Equivalence of the SMO and MDM Algorithms for SVM Training -- Nearest Neighbour Classification with Monotonicity Constraints -- Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer -- Mining Edge-Weighted Call Graphs to Localise Software Bugs -- Hierarchical Distance-Based Conceptual Clustering -- Mining Frequent Connected Subgraphs Reducing the Number of Candidates -- Unsupervised Riemannian Clustering of Probability Density Functions -- Online Manifold Regularization: A New Learning Setting and Empirical Study -- A Fast Algorithm to Find Overlapping Communities in Networks -- A Case Study in Sequential Pattern Mining for IT-Operational Risk -- Tight Optimistic Estimates for Fast Subgroup Discovery -- Watch, Listen & Learn: Co-training on Captioned Images and Videos -- Parameter Learning in Probabilistic Databases: A Least Squares Approach -- Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics -- One-Class Classification by Combining Density and Class Probability Estimation -- Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth -- Proper Model Selection with Significance Test -- A Projection-Based Framework for Classifier Performance Evaluation -- Distortion-Free Nonlinear Dimensionality Reduction -- Learning with L q? vs L 1-Norm Regularisation with Exponentially Many Irrelevant Features -- Catenary Support Vector Machines -- Exact and Approximate Inference for Annotating Graphs with Structural SVMs -- Extracting Semantic Networks from Text Via Relational Clustering -- Ranking the Uniformity of Interval Pairs -- Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs -- StreamKrimp: Detecting Change in Data Streams. |
| Record Nr. | UNISA-996465863703316 |
| Berlin ; ; Heidelberg : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine learning and knowledge discovery in databases : European Conference, Antwerp, Belgium, September 15-19, 2008, proceedings, Part II / / Walter Daelemans and Katharina Morik, editors
| Machine learning and knowledge discovery in databases : European Conference, Antwerp, Belgium, September 15-19, 2008, proceedings, Part II / / Walter Daelemans and Katharina Morik, editors |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Germany : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XXIII, 698 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Machine learning |
| ISBN | 3-540-87481-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Regular Papers -- Exceptional Model Mining -- A Joint Topic and Perspective Model for Ideological Discourse -- Effective Pruning Techniques for Mining Quasi-Cliques -- Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain -- Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs -- A New Natural Policy Gradient by Stationary Distribution Metric -- Towards Machine Learning of Grammars and Compilers of Programming Languages -- Improving Classification with Pairwise Constraints: A Margin-Based Approach -- Metric Learning: A Support Vector Approach -- Support Vector Machines, Data Reduction, and Approximate Kernel Matrices -- Mixed Bregman Clustering with Approximation Guarantees -- Hierarchical, Parameter-Free Community Discovery -- A Genetic Algorithm for Text Classification Rule Induction -- Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness -- Kernel-Based Inductive Transfer -- State-Dependent Exploration for Policy Gradient Methods -- Client-Friendly Classification over Random Hyperplane Hashes -- Large-Scale Clustering through Functional Embedding -- Clustering Distributed Sensor Data Streams -- A Novel Scalable and Data Efficient Feature Subset Selection Algorithm -- Robust Feature Selection Using Ensemble Feature Selection Techniques -- Effective Visualization of Information Diffusion Process over Complex Networks -- Actively Transfer Domain Knowledge -- A Unified View of Matrix Factorization Models -- Parallel Spectral Clustering -- Classification of Multi-labeled Data: A Generative Approach -- Pool-Based Agnostic Experiment Design in Linear Regression -- Distribution-Free Learning of Bayesian Network Structure -- Assessing Nonlinear Granger Causality from Multivariate Time Series -- Clustering Via Local Regression -- Decomposable Families of Itemsets -- Transferring Instances for Model-Based Reinforcement Learning -- A Simple Model for Sequences of Relational State Descriptions -- Semi-Supervised Boosting for Multi-Class Classification -- A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis -- Transferred Dimensionality Reduction -- Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model -- Estimating Sales Opportunity Using Similarity-Based Methods -- Learning MDP Action Models Via Discrete Mixture Trees -- Continuous Time Bayesian Networks for Host Level Network Intrusion Detection -- Data Streaming with Affinity Propagation -- Semi-supervised Discriminant Analysis Via CCCP -- Demo Papers -- A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains -- Pleiades: Subspace Clustering and Evaluation -- SEDiL: Software for Edit Distance Learning -- Monitoring Patterns through an Integrated Management and Mining Tool -- A Knowledge-Based Digital Dashboard for Higher Learning Institutions -- SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model. |
| Record Nr. | UNINA-9910484036603321 |
| Berlin, Germany : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning and knowledge discovery in databases. : European conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008 : proceedings, Part 1 / / Walter Daelemans, Bart Goethals, Katharina Morik, (editors)
| Machine learning and knowledge discovery in databases. : European conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008 : proceedings, Part 1 / / Walter Daelemans, Bart Goethals, Katharina Morik, (editors) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XXIV, 692 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Machine learning |
| ISBN | 3-540-87479-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks (Abstracts) -- Industrializing Data Mining, Challenges and Perspectives -- From Microscopy Images to Models of Cellular Processes -- Data Clustering: 50 Years Beyond K-means -- Learning Language from Its Perceptual Context -- The Role of Hierarchies in Exploratory Data Mining -- Machine Learning Journal Abstracts -- Rollout Sampling Approximate Policy Iteration -- New Closed-Form Bounds on the Partition Function -- Large Margin vs. Large Volume in Transductive Learning -- Incremental Exemplar Learning Schemes for Classification on Embedded Devices -- A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity -- A Critical Analysis of Variants of the AUC -- Improving Maximum Margin Matrix Factorization -- Data Mining and Knowledge Discovery Journal Abstracts -- Finding Reliable Subgraphs from Large Probabilistic Graphs -- A Space Efficient Solution to the Frequent String Mining Problem for Many Databases -- The Boolean Column and Column-Row Matrix Decompositions -- SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs -- Mining Conjunctive Sequential Patterns -- Adequate Condensed Representations of Patterns -- Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data -- Regular Papers -- TOPTMH: Topology Predictor for Transmembrane ?-Helices -- Learning to Predict One or More Ranks in Ordinal Regression Tasks -- Cascade RSVM in Peer-to-Peer Networks -- An Algorithm for Transfer Learning in a Heterogeneous Environment -- Minimum-Size Bases of Association Rules -- Combining Classifiers through Triplet-Based Belief Functions -- An Improved Multi-task Learning Approach with Applications in Medical Diagnosis -- Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis -- Sequence Labelling SVMs Trained in One Pass -- Semi-supervised Classification from Discriminative Random Walks -- Learning Bidirectional Similarity for Collaborative Filtering -- Bootstrapping Information Extraction from Semi-structured Web Pages -- Online Multiagent Learning against Memory Bounded Adversaries -- Scalable Feature Selection for Multi-class Problems -- Learning Decision Trees for Unbalanced Data -- Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities -- A Fast Method for Training Linear SVM in the Primal -- On the Equivalence of the SMO and MDM Algorithms for SVM Training -- Nearest Neighbour Classification with Monotonicity Constraints -- Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer -- Mining Edge-Weighted Call Graphs to Localise Software Bugs -- Hierarchical Distance-Based Conceptual Clustering -- Mining Frequent Connected Subgraphs Reducing the Number of Candidates -- Unsupervised Riemannian Clustering of Probability Density Functions -- Online Manifold Regularization: A New Learning Setting and Empirical Study -- A Fast Algorithm to Find Overlapping Communities in Networks -- A Case Study in Sequential Pattern Mining for IT-Operational Risk -- Tight Optimistic Estimates for Fast Subgroup Discovery -- Watch, Listen & Learn: Co-training on Captioned Images and Videos -- Parameter Learning in Probabilistic Databases: A Least Squares Approach -- Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics -- One-Class Classification by Combining Density and Class Probability Estimation -- Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth -- Proper Model Selection with Significance Test -- A Projection-Based Framework for Classifier Performance Evaluation -- Distortion-Free Nonlinear Dimensionality Reduction -- Learning with L q? vs L 1-Norm Regularisation with Exponentially Many Irrelevant Features -- Catenary Support Vector Machines -- Exact and Approximate Inference for Annotating Graphs with Structural SVMs -- Extracting Semantic Networks from Text Via Relational Clustering -- Ranking the Uniformity of Interval Pairs -- Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs -- StreamKrimp: Detecting Change in Data Streams. |
| Record Nr. | UNINA-9910768168503321 |
| Berlin ; ; Heidelberg : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning under resource constraints Fundamentals / / edited by Katharina Morik and Peter Marwedel
| Machine learning under resource constraints Fundamentals / / edited by Katharina Morik and Peter Marwedel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2023] |
| Descrizione fisica | 1 online resource (xiii, 491 pages) : illustrations (chiefly colour) |
| Disciplina | 006.31 |
| Collana | De Gruyter STEM |
| Soggetto topico |
Machine learning
SCIENCE / Chemistry / General |
| Soggetto non controllato |
Artificial Intelligence
Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis |
| ISBN | 3-11-078594-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ; 1 Introduction / Katharina Morik, Jian-Jia Chen -- ; 1.1 Embedded Systems and Sustainability -- ; 1.2 The Energy Consumption of Machine Learning -- ; 1.3 Memory Demands of Machine Learning -- ; 1.4 Structure of this Book -- ; 2 Data Gathering and Resource Measuring -- ; 2.1 Declarative Stream-Based Acquisition and Processing of OS Data with kCQL / Christoph Borchert, Jochen Streicher, Alexander Lochmann,Olaf Spinczyk -- ; 2.2 PhyNetLab Test Bed / Mojtaba Masoudinejad, Markus Buschhoff -- ; 2.3 Zero-Power/Low-Power Sensing / Andres Gomez, Lars Suter, Simon Mayer -- ; 3 Streaming Data, Small Devices -- ; 3.1 Summary Extraction from Streams / Sebastian Buschjäger, Katharina Morik -- ; 3.2 Coresets and Sketches for Regression Problems on Data Streams and Distributed Data / Alexander Munteanu -- ; 4 Structured Data -- ; 4.1 Spatio-Temporal Random Fields / Nico Piatkowski, Katharina Morik -- ; 4.2 The Weisfeiler-Leman Method for Machine Learning with Graphs / Nils Kriege, Christopher Morris -- ; 4.3 Deep Graph Representation Learning / Matthias Fey, Frank Weichert -- ; 4.4 High-Quality Parallel Max-Cut Approximation Algorithms for Shared Memory / Nico Bertram, Jonas Ellert, Johannes Fischer -- ; 4.5 Millions of Formulas / Lukas Pfahler -- ; 5 Cluster Analysis -- ; 5.1 Sparse Partitioning Around Medoids / Lars Lenssen, Erich Schubert -- ; 5.2 Clustering of Polygonal Curves and Time Series / Amer Krivošija -- ; 5.3 Data Aggregation for Hierarchical Clustering / Erich Schubert, Andreas Lang -- ; 5.4 Matrix Factorization with Binary Constraints / Sibylle Hess ; 6 Hardware-Aware Execution -- ; 6.1 FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks / Wayne Luk, Ce Guo -- ; 6.2 Processor-Specific Code Transformation / Henning Funke, Jens Teubner -- ; 6.3 Extreme Multicore Classification / Erik Schultheis, Rohit Babbar -- ; 6.4 Optimization of ML on Modern Multicore Systems / Helena Kotthaus, Peter Marwedel -- 7 Memory Awareness -- ; 7.1 Efficient Memory Footprint Reduction / Helena Kotthaus, Peter Marwedel -- ; 7.2 Machine Learning Based on Emerging Memories / Mikail Yayla, Sebastian Buschjäger, Hussam Amrouch -- ; 7.3 Cache-Friendly Execution of Tree Ensembles / Sebastian Buschjäger, Kuan-Hsun Chen -- ; 8 Communication Awareness -- ; 8.1 Timing-Predictable Learning and Multiprocessor Synchronization / Kuan-Hsun Chen, Junjie Shi -- ; 8.2 Communication Architecture for Heterogeneous Hardware / Henning Funke, Jens Teubner -- ; 9 Energy Awareness -- ; 9.1 Integer Exponential Families / Nico Piatkowski -- ; 9.2 Power Consumption Analysis and Uplink Transmission Power / Robert Falkenberg. |
| Record Nr. | UNISA-996503570003316 |
| Berlin ; ; Boston : , : De Gruyter, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
