LEADER 03602nam 2200577 a 450 001 9910484003603321 005 20200520144314.0 010 $a1-280-38744-0 010 $a9786613565365 010 $a3-642-13840-3 024 7 $a10.1007/978-3-642-13840-9 035 $a(CKB)2670000000028952 035 $a(SSID)ssj0000446534 035 $a(PQKBManifestationID)11327277 035 $a(PQKBTitleCode)TC0000446534 035 $a(PQKBWorkID)10497027 035 $a(PQKB)11710188 035 $a(DE-He213)978-3-642-13840-9 035 $a(MiAaPQ)EBC3065461 035 $a(PPN)149072953 035 $a(EXLCZ)992670000000028952 100 $a20100521d2010 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aInductive logic programming $e19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009 : revised papers /$fLuc De Raedt (ed.) 205 $a1st ed. 210 $aNew York $cSpringer$d2010 215 $a1 online resource (XII, 257 p.) 225 1 $aLNCS sublibrary. SL 7, Artificial intelligence 225 1 $aLecture notes in artificial intelligence,$x0302-9743 ;$v5989 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-13839-X 320 $aIncludes bibliographical references and index. 327 $aKnowledge-Directed Theory Revision -- Towards Clausal Discovery for Stream Mining -- On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics -- Induction of Relational Algebra Expressions -- A Logic-Based Approach to Relation Extraction from Texts -- Discovering Rules by Meta-level Abduction -- Inductive Generalization of Analytically Learned Goal Hierarchies -- Ideal Downward Refinement in the Description Logic -- Nonmonotonic Onto-Relational Learning -- CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods -- Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals -- Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples -- ProGolem: A System Based on Relative Minimal Generalisation -- An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge -- Boosting First-Order Clauses for Large, Skewed Data Sets -- Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages -- Transfer Learning via Relational Templates -- Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data -- Finding Relational Associations in HIV Resistance Mutation Data -- ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries -- Parameter Screening and Optimisation for ILP Using Designed Experiments -- Don?t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models -- Policy Transfer via Markov Logic Networks -- Can ILP Be Applied to Large Datasets?. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence ;$v5989. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence. 606 $aLogic programming$vCongresses 615 0$aLogic programming 676 $a005.1/15 701 $aRaedt$b Luc de$f1964-$01754852 712 12$aILP (Conference) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484003603321 996 $aInductive logic programming$94191363 997 $aUNINA