06735nam 22008055 450 99646656960331620200704232619.01-280-38926-597866135671853-642-15939-710.1007/978-3-642-15939-8(CKB)2670000000036422(SSID)ssj0000446610(PQKBManifestationID)11281733(PQKBTitleCode)TC0000446610(PQKBWorkID)10497085(PQKB)10392206(DE-He213)978-3-642-15939-8(MiAaPQ)EBC3065651(PPN)149018282(EXLCZ)99267000000003642220100818d2010 u| 0engurnn|008mamaatxtccrMachine Learning and Knowledge Discovery in Databases[electronic resource] European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part III /edited by José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag1st ed. 2010.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2010.1 online resource (XXII, 632 p. 183 illus.) Lecture Notes in Artificial Intelligence ;6323Bibliographic Level Mode of Issuance: Monograph3-642-15938-9 Includes bibliographical references and index.Regular Papers -- Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations -- Unsupervised Trajectory Sampling -- Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations -- Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models -- Learning with Ensembles of Randomized Trees : New Insights -- Entropy and Margin Maximization for Structured Output Learning -- Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms -- Adapting Decision DAGs for Multipartite Ranking -- Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs -- Modeling Relations and Their Mentions without Labeled Text -- An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery -- Selecting Information Diffusion Models over Social Networks for Behavioral Analysis -- Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach -- Online Structural Graph Clustering Using Frequent Subgraph Mining -- Large-Scale Support Vector Learning with Structural Kernels -- Synchronization Based Outlier Detection -- Laplacian Spectrum Learning -- k-Version-Space Multi-class Classification Based on k-Consistency Tests -- Complexity Bounds for Batch Active Learning in Classification -- Semi-supervised Projection Clustering with Transferred Centroid Regularization -- Permutation Testing Improves Bayesian Network Learning -- Example-dependent Basis Vector Selection for Kernel-Based Classifiers -- Surprising Patterns for the Call Duration Distribution of Mobile Phone Users -- Variational Bayesian Mixture of Robust CCA Models -- Adverse Drug Reaction Mining in Pharmacovigilance Data Using Formal Concept Analysis -- Topic Models Conditioned on Relations -- Shift-Invariant Grouped Multi-task Learning for Gaussian Processes -- Nonparametric Bayesian Clustering Ensembles -- Directed Graph Learning via High-Order Co-linkage Analysis -- Incorporating Domain Models into Bayesian Optimization for RL -- Efficient and Numerically Stable Sparse Learning -- Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes -- Many-to-Many Graph Matching: A Continuous Relaxation Approach -- Competitive Online Generalized Linear Regression under Square Loss -- Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning -- Fast, Effective Molecular Feature Mining by Local Optimization -- Demo Papers -- AnswerArt - Contextualized Question Answering -- Real-Time News Recommender System -- CET: A Tool for Creative Exploration of Graphs -- NewsGist: A Multilingual Statistical News Summarizer -- QUEST: Query Expansion Using Synonyms over Time -- Flu Detector - Tracking Epidemics on Twitter -- X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction -- SOREX: Subspace Outlier Ranking Exploration Toolkit -- KDTA: Automated Knowledge-Driven Text Annotation -- Detecting Events in a Million New York Times Articles -- Experience STORIES: A Visual News Search and Summarization System -- Exploring Real Mobility Data with M-Atlas.Lecture Notes in Artificial Intelligence ;6323Artificial intelligenceData structures (Computer science)Application softwareInformation storage and retrievalDatabase managementData miningArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Data Structures and Information Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/I15009Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial intelligence.Data structures (Computer science).Application software.Information storage and retrieval.Database management.Data mining.Artificial Intelligence.Data Structures and Information Theory.Information Systems Applications (incl. Internet).Information Storage and Retrieval.Database Management.Data Mining and Knowledge Discovery.006.3Balcázar José Ledthttp://id.loc.gov/vocabulary/relators/edtBonchi Francescoedthttp://id.loc.gov/vocabulary/relators/edtGionis Aristidesedthttp://id.loc.gov/vocabulary/relators/edtSebag Michèleedthttp://id.loc.gov/vocabulary/relators/edtBOOK996466569603316Machine Learning and Knowledge Discovery in Databases773712UNISA