05386nam 22007935 450 99646624570331620200705110733.03-540-78469-110.1007/978-3-540-78469-2(CKB)1000000000490667(SSID)ssj0000318231(PQKBManifestationID)11226176(PQKBTitleCode)TC0000318231(PQKBWorkID)10308176(PQKB)11615035(DE-He213)978-3-540-78469-2(MiAaPQ)EBC3068708(PPN)123743796(EXLCZ)99100000000049066720100301d2008 u| 0engurnn|008mamaatxtccrInductive Logic Programming[electronic resource] 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers /edited by Hendrik Blockeel, Jan Ramon, Jude Shavlik, Prasad Tadepalli1st ed. 2008.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2008.1 online resource (XI, 307 p.) Lecture Notes in Artificial Intelligence ;4894Bibliographic 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 Artificial Intelligence ;4894Artificial intelligenceSoftware engineeringComputer programmingMathematical logicAlgorithmsData miningArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Software Engineering/Programming and Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14002Programming Techniqueshttps://scigraph.springernature.com/ontologies/product-market-codes/I14010Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial intelligence.Software engineering.Computer programming.Mathematical logic.Algorithms.Data mining.Artificial Intelligence.Software Engineering/Programming and Operating Systems.Programming Techniques.Mathematical Logic and Formal Languages.Algorithm Analysis and Problem Complexity.Data Mining and Knowledge Discovery.005.1/5Blockeel Hendrikedthttp://id.loc.gov/vocabulary/relators/edtRamon Janedthttp://id.loc.gov/vocabulary/relators/edtShavlik Judeedthttp://id.loc.gov/vocabulary/relators/edtTadepalli Prasadedthttp://id.loc.gov/vocabulary/relators/edtILP 2007BOOK996466245703316Inductive Logic Programming772244UNISA