03891nam 2200565Ia 450 991048430140332120200520144314.01-280-38919-297866135671163-642-15883-810.1007/978-3-642-15883-4(CKB)2670000000036421(SSID)ssj0000446609(PQKBManifestationID)11297682(PQKBTitleCode)TC0000446609(PQKBWorkID)10496399(PQKB)11708357(DE-He213)978-3-642-15883-4(MiAaPQ)EBC3065654(PPN)149018118(EXLCZ)99267000000003642120100915d2010 uy 0engurnn|008mamaatxtccrMachine learning and knowledge discovery in databases[electronic resource] European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010 ; proceedingsPart 2 /Jose Luis Balcazar ... [et al.] (eds.)1st ed. 2010.Berlin ;New York Springerc20101 online resource (XXI, 518 p. 145 illus.) Lecture notes in artificial intelligence ;6322Bibliographic Level Mode of Issuance: Monograph3-642-15882-X Includes bibliographical references and index.Regular Papers -- Bayesian Knowledge Corroboration with Logical Rules and User Feedback -- Learning an Affine Transformation for Non-linear Dimensionality Reduction -- NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification -- Hidden Conditional Ordinal Random Fields for Sequence Classification -- A Unifying View of Multiple Kernel Learning -- Evolutionary Dynamics of Regret Minimization -- Recognition of Instrument Timbres in Real Polytimbral Audio Recordings -- Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks -- Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction -- Online Knowledge-Based Support Vector Machines -- Learning with Randomized Majority Votes -- Exploration in Relational Worlds -- Efficient Confident Search in Large Review Corpora -- Learning to Tag from Open Vocabulary Labels -- A Robustness Measure of Association Rules -- Automatic Model Adaptation for Complex Structured Domains -- Collective Traffic Forecasting -- On Detecting Clustered Anomalies Using SCiForest -- Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier -- Online Learning in Adversarial Lipschitz Environments -- Summarising Data by Clustering Items -- Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space -- Latent Structure Pattern Mining -- First-Order Bayes-Ball -- Learning from Demonstration Using MDP Induced Metrics -- Demand-Driven Tag Recommendation -- Solving Structured Sparsity Regularization with Proximal Methods -- Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models -- Improved MinMax Cut Graph Clustering with Nonnegative Relaxation -- Integrating Constraint Programming and Itemset Mining -- Topic Modeling for Personalized Recommendation of Volatile Items -- Conditional Ranking on Relational Data.Lecture notes in computer science.Lecture notes in artificial intelligence ;6322.Machine learningCongressesDatabase managementCongressesMachine learningDatabase management006.3Balcazar Jose Luis1753945MiAaPQMiAaPQMiAaPQBOOK9910484301403321Machine learning and knowledge discovery in databases4190019UNINA