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Discovery Science [[electronic resource] ] : 16th International Conference, DS 2013, Singapore, October 6-9, 2013, Proceedings / / edited by Johannes Fürnkranz, Eyke Hüllermeier, Tomoyuki Higuchi
| Discovery Science [[electronic resource] ] : 16th International Conference, DS 2013, Singapore, October 6-9, 2013, Proceedings / / edited by Johannes Fürnkranz, Eyke Hüllermeier, Tomoyuki Higuchi |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 357 p. 104 illus.) |
| Disciplina | 501 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Information storage and retrieval Application software Database management Data mining Algorithms Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Database Management Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity |
| ISBN | 3-642-40897-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mixture Models from Multiresolution 0-1 Data -- Model Tree Ensembles for Modeling Dynamic Systems -- Fast and Scalable Image Retrieval Using Predictive Clustering Trees -- Avoiding Anomalies in Data Stream Learning -- Generalizing from Example Clusters -- Clustering Based Active Learning for Evolving Data Streams -- Robust Crowd Labeling Using Little Expertise -- A New Approach to String Pattern Mining with Approximate Match -- OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process -- A Wordification Approach to Relational Data Mining -- Multi-interval Discretization of Continuous Attributes for Label Ranking -- Identifying Super-Mediators of Information Diffusion in Social Networks -- SM2D: A Modular Knowledge Discovery Approach Applied to Hydrological Forecasting -- A Dynamic Programming Algorithm for Learning Chain Event Graphs -- Mining Interesting Patterns in Multi-relational Data with N-ary Relationships -- Learning Hierarchical Multi-label Classification Trees from Network Data -- A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications -- Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis -- Fast Compression of Large-Scale Hypergraphs for Solving Combinatorial Problems -- Semantic Data Mining of Financial News Articles -- Polynomial Delay and Space Discovery of Connected and Acyclic Sub-hypergraphs in a Hypergraph -- Hyperlink Prediction in Hypernetworks Using Latent Social Features -- Extracting Opinionated (Sub)Features from a Stream of Product Reviews. |
| Record Nr. | UNISA-996465427903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Discovery Science : 16th International Conference, DS 2013, Singapore, October 6-9, 2013, Proceedings / / edited by Johannes Fürnkranz, Eyke Hüllermeier, Tomoyuki Higuchi
| Discovery Science : 16th International Conference, DS 2013, Singapore, October 6-9, 2013, Proceedings / / edited by Johannes Fürnkranz, Eyke Hüllermeier, Tomoyuki Higuchi |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 357 p. 104 illus.) |
| Disciplina | 501 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Information storage and retrieval Application software Database management Data mining Algorithms Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Database Management Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity |
| ISBN | 3-642-40897-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mixture Models from Multiresolution 0-1 Data -- Model Tree Ensembles for Modeling Dynamic Systems -- Fast and Scalable Image Retrieval Using Predictive Clustering Trees -- Avoiding Anomalies in Data Stream Learning -- Generalizing from Example Clusters -- Clustering Based Active Learning for Evolving Data Streams -- Robust Crowd Labeling Using Little Expertise -- A New Approach to String Pattern Mining with Approximate Match -- OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process -- A Wordification Approach to Relational Data Mining -- Multi-interval Discretization of Continuous Attributes for Label Ranking -- Identifying Super-Mediators of Information Diffusion in Social Networks -- SM2D: A Modular Knowledge Discovery Approach Applied to Hydrological Forecasting -- A Dynamic Programming Algorithm for Learning Chain Event Graphs -- Mining Interesting Patterns in Multi-relational Data with N-ary Relationships -- Learning Hierarchical Multi-label Classification Trees from Network Data -- A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications -- Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis -- Fast Compression of Large-Scale Hypergraphs for Solving Combinatorial Problems -- Semantic Data Mining of Financial News Articles -- Polynomial Delay and Space Discovery of Connected and Acyclic Sub-hypergraphs in a Hypergraph -- Hyperlink Prediction in Hypernetworks Using Latent Social Features -- Extracting Opinionated (Sub)Features from a Stream of Product Reviews. |
| Record Nr. | UNINA-9910483803203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
KI 2017: Advances in Artificial Intelligence [[electronic resource] ] : 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings / / edited by Gabriele Kern-Isberner, Johannes Fürnkranz, Matthias Thimm
| KI 2017: Advances in Artificial Intelligence [[electronic resource] ] : 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings / / edited by Gabriele Kern-Isberner, Johannes Fürnkranz, Matthias Thimm |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIX, 396 p. 103 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Mathematical logic Computer communication systems Special purpose computers Application software Artificial Intelligence Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages Computer Communication Networks Special Purpose and Application-Based Systems Computer Appl. in Administrative Data Processing |
| ISBN | 3-319-67190-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Agents -- Robotics -- Cognitive Sciences -- Machine learning -- Planning -- Knowledge representation -- Reasoning, and Ontologies. |
| Record Nr. | UNISA-996466261703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
KI 2017: Advances in Artificial Intelligence : 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings / / edited by Gabriele Kern-Isberner, Johannes Fürnkranz, Matthias Thimm
| KI 2017: Advances in Artificial Intelligence : 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings / / edited by Gabriele Kern-Isberner, Johannes Fürnkranz, Matthias Thimm |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIX, 396 p. 103 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Mathematical logic Computer communication systems Special purpose computers Application software Artificial Intelligence Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages Computer Communication Networks Special Purpose and Application-Based Systems Computer Appl. in Administrative Data Processing |
| ISBN | 3-319-67190-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Agents -- Robotics -- Cognitive Sciences -- Machine learning -- Planning -- Knowledge representation -- Reasoning, and Ontologies. |
| Record Nr. | UNINA-9910483628303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Discovery in Databases: PKDD 2006 [[electronic resource] ] : 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings / / edited by Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou
| Knowledge Discovery in Databases: PKDD 2006 [[electronic resource] ] : 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings / / edited by Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (XXII, 660 p.) |
| Disciplina | 005.3/12 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data structures (Computer science)
Artificial intelligence Database management Information storage and retrieval Mathematical statistics Natural language processing (Computer science) Data Structures and Information Theory Artificial Intelligence Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Natural Language Processing (NLP) |
| ISBN | 3-540-46048-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- On Temporal Evolution in Data Streams -- The Future of CiteSeer: CiteSeerx -- Learning to Have Fun -- Winning the DARPA Grand Challenge -- Challenges of Urban Sensing -- Long Papers -- SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery -- Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics -- Clustering Scientific Literature Using Sparse Citation Graph Analysis -- VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences -- Don’t Be Afraid of Simpler Patterns -- An Adaptive Prequential Learning Framework for Bayesian Network Classifiers -- Adaptive Active Classification of Cell Assay Images -- Learning Parameters in Entity Relationship Graphs from Ranking Preferences -- Detecting Fraudulent Personalities in Networks of Online Auctioneers -- Measuring Constraint-Set Utility for Partitional Clustering Algorithms -- Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering -- Optimal String Mining Under Frequency Constraints -- k-Anonymous Decision Tree Induction -- Closed Sets for Labeled Data -- Finding Trees from Unordered 0–1 Data -- Web Communities Identification from Random Walks -- Information Marginalization on Subgraphs -- Why Does Subsequence Time-Series Clustering Produce Sine Waves? -- Transductive Learning for Text Classification Using Explicit Knowledge Models -- Exploring Multiple Communities with Kernel-Based Link Analysis -- Distribution Rules with Numeric Attributes of Interest -- Tractable Models for Information Diffusion in Social Networks -- Efficient Spatial Classification Using Decoupled Conditional Random Fields -- Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data -- An Attacker’s View of Distance Preserving Maps for Privacy Preserving Data Mining -- A Scalable Distributed Stream Mining System for Highway Traffic Data -- K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance -- The Discrete Basis Problem -- Evaluation of Summarization Schemes for Learning in Streams -- Efficient Mining of Correlation Patterns in Spatial Point Data -- Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs -- Refining Aggregate Conditions in Relational Learning -- Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification -- RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings -- Distributed Subgroup Mining -- Network Flow for Collaborative Ranking -- Short Papers -- Finding Hierarchies of Subspace Clusters -- Integrating Pattern Mining in Relational Databases -- Discovering Patterns in Real-Valued Time Series -- Classification of Dementia Types from Cognitive Profiles Data -- When Efficient Model Averaging Out-Performs Boosting and Bagging -- Peak-Jumping Frequent Itemset Mining Algorithms -- Autonomous Visualization -- Naive Bayes for Text Classification with Unbalanced Classes -- Knowledge-Conscious Data Clustering -- On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining -- Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles -- Efficient Name Disambiguation for Large-Scale Databases -- Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures -- A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction -- Discovering Image-Text Associations for Cross-Media Web Information Fusion -- Mining Sequences of Temporal Intervals -- Pattern Teams -- Compression Picks Item Sets That Matter -- Discovering Overlapping Communities of Named Entities -- Closed Non-derivable Itemsets -- Learning a Distance Metric for Object Identification Without Human Supervision -- Towards Association Rules with Hidden Variables -- A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry -- Incremental Aspect Models for Mining Document Streams -- Learning Approximate MRFs from Large Transaction Data -- Similarity Search for Multi-dimensional NMR-Spectra of Natural Products. |
| Record Nr. | UNISA-996466157203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning: ECML 2006 [[electronic resource] ] : 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings / / edited by Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou
| Machine Learning: ECML 2006 [[electronic resource] ] : 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings / / edited by Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (XXIII, 851 p.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Mathematical logic Database management Artificial Intelligence Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages Database Management |
| ISBN | 3-540-46056-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- On Temporal Evolution in Data Streams -- The Future of CiteSeer: CiteSeerx -- Learning to Have Fun -- Winning the DARPA Grand Challenge -- Challenges of Urban Sensing -- Long Papers -- Learning in One-Shot Strategic Form Games -- A Selective Sampling Strategy for Label Ranking -- Combinatorial Markov Random Fields -- Learning Stochastic Tree Edit Distance -- Pertinent Background Knowledge for Learning Protein Grammars -- Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies -- Sequence Discrimination Using Phase-Type Distributions -- Languages as Hyperplanes: Grammatical Inference with String Kernels -- Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning -- Fisher Kernels for Relational Data -- Evaluating Misclassifications in Imbalanced Data -- Improving Control-Knowledge Acquisition for Planning by Active Learning -- PAC-Learning of Markov Models with Hidden State -- A Discriminative Approach for the Retrieval of Images from Text Queries -- TildeCRF: Conditional Random Fields for Logical Sequences -- Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data -- Bayesian Learning of Markov Network Structure -- Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks -- Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions -- EM Algorithm for Symmetric Causal Independence Models -- Deconvolutive Clustering of Markov States -- Patching Approximate Solutions in Reinforcement Learning -- Fast Variational Inference for Gaussian Process Models Through KL-Correction -- Bandit Based Monte-Carlo Planning -- Bayesian Learning with Mixtures of Trees -- Transductive Gaussian Process Regression with Automatic Model Selection -- Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees -- Why Is Rule Learning Optimistic and How to Correct It -- Automatically Evolving Rule Induction Algorithms -- Bayesian Active Learning for Sensitivity Analysis -- Mixtures of Kikuchi Approximations -- Boosting in PN Spaces -- Prioritizing Point-Based POMDP Solvers -- Graph Based Semi-supervised Learning with Sharper Edges -- Margin-Based Active Learning for Structured Output Spaces -- Skill Acquisition Via Transfer Learning and Advice Taking -- Constant Rate Approximate Maximum Margin Algorithms -- Batch Classification with Applications in Computer Aided Diagnosis -- Improving the Ranking Performance of Decision Trees -- Multiple-Instance Learning Via Random Walk -- Localized Alternative Cluster Ensembles for Collaborative Structuring -- Distributional Features for Text Categorization -- Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data -- An Adaptive Kernel Method for Semi-supervised Clustering -- To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles -- Ensembles of Nearest Neighbor Forecasts -- Short Papers -- Learning Process Models with Missing Data -- Case-Based Label Ranking -- Cascade Evaluation of Clustering Algorithms -- Making Good Probability Estimates for Regression -- Fast Spectral Clustering of Data Using Sequential Matrix Compression -- An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects -- Efficient Inference in Large Conditional Random Fields -- A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses -- Cost-Sensitive Decision Tree Learning for Forensic Classification -- The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces -- Right of Inference: Nearest Rectangle Learning Revisited -- Reinforcement Learning for MDPs with Constraints -- Efficient Non-linear Control Through Neuroevolution -- Efficient Prediction-Based Validation for Document Clustering -- On Testing the Missing at Random Assumption -- B-Matching for Spectral Clustering -- Multi-class Ensemble-Based Active Learning -- Active Learning with Irrelevant Examples -- Classification with Support Hyperplanes -- (Agnostic) PAC Learning Concepts in Higher-Order Logic -- Evaluating Feature Selection for SVMs in High Dimensions -- Revisiting Fisher Kernels for Document Similarities -- Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery -- Robust Probabilistic Calibration -- Missing Data in Kernel PCA -- Exploiting Extremely Rare Features in Text Categorization -- Efficient Large Scale Linear Programming Support Vector Machines -- An Efficient Approximation to Lookahead in Relational Learners -- Improvement of Systems Management Policies Using Hybrid Reinforcement Learning -- Diversified SVM Ensembles for Large Data Sets -- Dynamic Integration with Random Forests -- Bagging Using Statistical Queries -- Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test -- Spline Embedding for Nonlinear Dimensionality Reduction -- Cost-Sensitive Learning of SVM for Ranking -- Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. |
| Record Nr. | UNISA-996466136603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||