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020 _a9783642158803
_9978-3-642-15880-3
024 7 _a10.1007/978-3-642-15880-3
_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 I /
_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 _aXXX, 620 p. 175 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 ;
_v6321
505 0 _aInvited Talks (Abstracts) -- Mining Billion-Node Graphs: Patterns, Generators and Tools -- Structure Is Informative: On Mining Structured Information Networks -- Intelligent Interaction with the Real World -- Mining Experimental Data for Dynamical Invariants - From Cognitive Robotics to Computational Biology -- Hierarchical Learning Machines and Neuroscience of Visual Cortex -- Formal Theory of Fun and Creativity -- Regular Papers -- Porting Decision Tree Algorithms to Multicore Using FastFlow -- On Classifying Drifting Concepts in P2P Networks -- A Unified Approach to Active Dual Supervision for Labeling Features and Examples -- Vector Field Learning via Spectral Filtering -- Weighted Symbols-Based Edit Distance for String-Structured Image Classification -- A Concise Representation of Association Rules Using Minimal Predictive Rules -- Euclidean Distances, Soft and Spectral Clustering on Weighted Graphs -- Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks -- Leveraging Bagging for Evolving Data Streams -- ITCH: Information-Theoretic Cluster Hierarchies -- Coniunge et Impera: Multiple-Graph Mining for Query-Log Analysis -- Process Mining Meets Abstract Interpretation -- Smarter Sampling in Model-Based Bayesian Reinforcement Learning -- Predicting Partial Orders: Ranking with Abstention -- Predictive Distribution Matching SVM for Multi-domain Learning -- Kantorovich Distances between Rankings with Applications to Rank Aggregation -- Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition -- Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss -- Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression -- Adaptive Bases for Reinforcement Learning -- Constructing Nonlinear Discriminants from Multiple Data Views -- Learning Algorithms for Link Prediction Based on Chance Constraints -- Sparse Unsupervised Dimensionality Reduction Algorithms -- Asking Generalized Queries to Ambiguous Oracle -- Analysis of Large Multi-modal Social Networks: Patterns and a Generator -- A Cluster-Level Semi-supervision Model for Interactive Clustering -- Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs -- Induction of Concepts in Web Ontologies through Terminological Decision Trees -- Classification with Sums of Separable Functions -- Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information -- Bagging for Biclustering: Application to Microarray Data -- Hub Gene Selection Methods for the Reconstruction of Transcription Networks -- Expectation Propagation for Bayesian Multi-task Feature Selection -- Graphical Multi-way Models -- Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval -- Graph Regularized Transductive Classification on Heterogeneous Information Networks -- Temporal Maximum Margin Markov Network.-Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration.
650 0 _aArtificial intelligence.
_93407
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aApplication software.
_9152469
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.
_9152470
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aDatabase Management.
_93157
650 2 4 _aData Mining and Knowledge Discovery.
_9152471
700 1 _aBalcázar, José L.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9152472
700 1 _aBonchi, Francesco.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9152473
700 1 _aGionis, Aristides.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9152474
700 1 _aSebag, Michèle.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9152475
710 2 _aSpringerLink (Online service)
_9152476
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642158797
776 0 8 _iPrinted edition:
_z9783642158810
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v6321
_9152477
856 4 0 _uhttps://doi.org/10.1007/978-3-642-15880-3
912 _aZDB-2-SCS
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