04928nam 22007815 450 99646560680331620200703034121.01-280-38744-097866135653653-642-13840-310.1007/978-3-642-13840-9(CKB)2670000000028952(SSID)ssj0000446534(PQKBManifestationID)11327277(PQKBTitleCode)TC0000446534(PQKBWorkID)10497027(PQKB)11710188(DE-He213)978-3-642-13840-9(MiAaPQ)EBC3065461(PPN)149072953(EXLCZ)99267000000002895220100701d2010 u| 0engurnn|008mamaatxtccrInductive Logic Programming[electronic resource] 19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers /edited by Luc Raedt1st ed. 2010.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2010.1 online resource (XII, 257 p.) Lecture Notes in Artificial Intelligence ;5989Bibliographic Level Mode of Issuance: Monograph3-642-13839-X Includes bibliographical references and index.Knowledge-Directed Theory Revision -- Towards Clausal Discovery for Stream Mining -- On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics -- Induction of Relational Algebra Expressions -- A Logic-Based Approach to Relation Extraction from Texts -- Discovering Rules by Meta-level Abduction -- Inductive Generalization of Analytically Learned Goal Hierarchies -- Ideal Downward Refinement in the Description Logic -- Nonmonotonic Onto-Relational Learning -- CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods -- Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals -- Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples -- ProGolem: A System Based on Relative Minimal Generalisation -- An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge -- Boosting First-Order Clauses for Large, Skewed Data Sets -- Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages -- Transfer Learning via Relational Templates -- Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data -- Finding Relational Associations in HIV Resistance Mutation Data -- ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries -- Parameter Screening and Optimisation for ILP Using Designed Experiments -- Don’t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models -- Policy Transfer via Markov Logic Networks -- Can ILP Be Applied to Large Datasets?.Lecture Notes in Artificial Intelligence ;5989Mathematical logicProgramming languages (Electronic computers)Database managementInformation storage and retrievalAlgorithmsData miningMathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Programming Languages, Compilers, Interpretershttps://scigraph.springernature.com/ontologies/product-market-codes/I14037Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Mathematical logic.Programming languages (Electronic computers).Database management.Information storage and retrieval.Algorithms.Data mining.Mathematical Logic and Formal Languages.Programming Languages, Compilers, Interpreters.Database Management.Information Storage and Retrieval.Algorithm Analysis and Problem Complexity.Data Mining and Knowledge Discovery.005.1/15Raedt Lucedthttp://id.loc.gov/vocabulary/relators/edtILP (Conference)BOOK996465606803316Inductive Logic Programming772244UNISA