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020 _a9783642159398
_9978-3-642-15939-8
024 7 _a10.1007/978-3-642-15939-8
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aMachine Learning and Knowledge Discovery in Databases
_h[electronic resource] :
_bEuropean Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part III /
_cedited by José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag.
250 _a1st ed. 2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _aXXII, 632 p. 183 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v6323
505 0 _aRegular 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.
650 0 _aArtificial intelligence.
_93407
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aApplication software.
_9150927
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aDatabase management.
_93157
650 0 _aData mining.
_93907
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aData Structures and Information Theory.
_931923
650 2 4 _aComputer and Information Systems Applications.
_9150928
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aDatabase Management.
_93157
650 2 4 _aData Mining and Knowledge Discovery.
_9150929
700 1 _aBalcázar, José L.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9150930
700 1 _aBonchi, Francesco.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9150931
700 1 _aGionis, Aristides.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9150932
700 1 _aSebag, Michèle.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9150933
710 2 _aSpringerLink (Online service)
_9150934
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642159381
776 0 8 _iPrinted edition:
_z9783642159404
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v6323
_9150935
856 4 0 _uhttps://doi.org/10.1007/978-3-642-15939-8
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