LEADER 03458nam 22006255 450 001 9910768435503321 005 20200701085316.0 010 $a3-540-44960-4 024 7 $a10.1007/3-540-44960-4 035 $a(CKB)1000000000211281 035 $a(SSID)ssj0000323939 035 $a(PQKBManifestationID)11240571 035 $a(PQKBTitleCode)TC0000323939 035 $a(PQKBWorkID)10305113 035 $a(PQKB)11535451 035 $a(DE-He213)978-3-540-44960-7 035 $a(MiAaPQ)EBC3072492 035 $a(PPN)155221078 035 $a(EXLCZ)991000000000211281 100 $a20121227d2000 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aInductive Logic Programming $e10th International Conference, ILP 2000, London, UK, July 24-27, 2000 Proceedings /$fedited by James Cussens, Alan Frisch 205 $a1st ed. 2000. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2000. 215 $a1 online resource (X, 262 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v1866 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-67795-X 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aInvited Paper -- ILP: Just Do It -- Contributed Papers -- A New Algorithm for Learning Range Restricted Horn Expressions -- A Refinement Operator for Description Logics -- Executing Query Packs in ILP -- A Logical Database Mining Query Language -- Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions -- Extending K-Means Clustering to First-Order Representations -- Theory Completion Using Inverse Entailment -- Solving Selection Problems Using Preference Relation Based on Bayesian Learning -- Concurrent Execution of Optimal Hypothesis Search for Inverse Entailment -- Using ILP to Improve Planning in Hierarchical Reinforcement Learning -- Towards Learning in CARIN-ALN -- Inverse Entailment in Nonmonotonic Logic Programs -- A Note on Two Simple Transformations for Improving the Efficiency of an ILP System -- Searching the Subsumption Lattice by a Genetic Algorithm -- New Conditions for the Existence of Least Generalizations under Relative Subsumption. 410 0$aLecture Notes in Artificial Intelligence ;$v1866 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aComputer programming 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aComputer programming. 615 14$aArtificial Intelligence. 615 24$aSoftware Engineering/Programming and Operating Systems. 615 24$aProgramming Techniques. 676 $a005.1/15 702 $aCussens$b James$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFrisch$b Alan$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aILP (Conference) 906 $aBOOK 912 $a9910768435503321 996 $aInductive Logic Programming$92804417 997 $aUNINA