03602nam 2200577 a 450 991048400360332120200520144314.01-280-38744-097866135653653-642-13840-310.1007/978-3-642-13840-9(CKB)2670000000028952(SSID)ssj0000446534(PQKBManifestationID)11327277(PQKBTitleCode)TC0000446534(PQKBWorkID)10497027(PQKB)11710188(DE-He213)978-3-642-13840-9(MiAaPQ)EBC3065461(PPN)149072953(EXLCZ)99267000000002895220100521d2010 uy 0engurnn|008mamaatxtccrInductive logic programming 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009 : revised papers /Luc De Raedt (ed.)1st ed.New York Springer20101 online resource (XII, 257 p.) LNCS sublibrary. SL 7, Artificial intelligenceLecture notes in artificial intelligence,0302-9743 ;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 computer science.Lecture notes in artificial intelligence ;5989.Lecture notes in computer science.Lecture notes in artificial intelligence.Logic programmingCongressesLogic programming005.1/15Raedt Luc de1964-1754852ILP (Conference)MiAaPQMiAaPQMiAaPQBOOK9910484003603321Inductive logic programming4191363UNINA