03867nam 2200553 a 450 991076757560332120200520144314.03-540-78469-110.1007/978-3-540-78469-2(CKB)1000000000490667(SSID)ssj0000318231(PQKBManifestationID)11226176(PQKBTitleCode)TC0000318231(PQKBWorkID)10308176(PQKB)11615035(DE-He213)978-3-540-78469-2(MiAaPQ)EBC3068708(PPN)123743796(EXLCZ)99100000000049066720080204d2008 uy 0engurnn|008mamaatxtccrInductive logic programming 17th international conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007 : revised selected papers /Hendrick Blockeel ... [et al.] (eds.)1st ed. 2008.Berlin ;New York Springerc20081 online resource (XI, 307 p.) LNCS sublibrary. SL 7, Artificial intelligenceLecture notes in computer science,0302-9743 ;4894.Lecture notes in artificial intelligenceBibliographic Level Mode of Issuance: Monograph3-540-78468-3 Includes bibliographical references and index.Invited Talks -- Learning with Kernels and Logical Representations -- Beyond Prediction: Directions for Probabilistic and Relational Learning -- Extended Abstracts -- Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract) -- Learning Directed Probabilistic Logical Models Using Ordering-Search -- Learning to Assign Degrees of Belief in Relational Domains -- Bias/Variance Analysis for Relational Domains -- Full Papers -- Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases -- Clustering Relational Data Based on Randomized Propositionalization -- Structural Statistical Software Testing with Active Learning in a Graph -- Learning Declarative Bias -- ILP :- Just Trie It -- Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning -- Empirical Comparison of “Hard” and “Soft” Label Propagation for Relational Classification -- A Phase Transition-Based Perspective on Multiple Instance Kernels -- Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates -- Applying Inductive Logic Programming to Process Mining -- A Refinement Operator Based Learning Algorithm for the Description Logic -- Foundations of Refinement Operators for Description Logics -- A Relational Hierarchical Model for Decision-Theoretic Assistance -- Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming -- Revising First-Order Logic Theories from Examples Through Stochastic Local Search -- Using ILP to Construct Features for Information Extraction from Semi-structured Text -- Mode-Directed Inverse Entailment for Full Clausal Theories -- Mining of Frequent Block Preserving Outerplanar Graph Structured Patterns -- Relational Macros for Transfer in Reinforcement Learning -- Seeing the Forest Through the Trees -- Building Relational World Models for Reinforcement Learning -- An Inductive Learning System for XML Documents.Lecture notes in computer science.Lecture notes in artificial intelligence ;4894.LNCS sublibrary.SL 7,Artificial intelligence.Logic programmingCongressesLogic programming005.1/5Blockeel Hendrik1759891ILP 2007MiAaPQMiAaPQMiAaPQBOOK9910767575603321Inductive logic programming4198563UNINA