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020 _a9783540859284
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024 7 _a10.1007/978-3-540-85928-4
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aInductive Logic Programming
_h[electronic resource] :
_b18th International Conference, ILP 2008 Prague, Czech Republic, September 10-12, 2008, Proceedings /
_cedited by Filip Železný, Nada Lavrač.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aX, 358 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5194
505 0 _aInvited Talks -- Building Theories of the World: Human and Machine Learning Perspectives -- SRL without Tears: An ILP Perspective -- Semantic Web Meets ILP: Unconsumated Love, or No Love Lost? -- Learning Expressive Models of Gene Regulation -- Information Overload and FP7 Funding Opportunities in 2009-10 -- Research Papers -- A Model to Study Phase Transition and Plateaus in Relational Learning -- Top-Down Induction of Relational Model Trees in Multi-instance Learning -- Challenges in Relational Learning for Real-Time Systems Applications -- Discriminative Structure Learning of Markov Logic Networks -- An Experiment in Robot Discovery with ILP -- Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples -- DL-FOIL Concept Learning in Description Logics -- Feature Discovery with Type Extension Trees -- Feature Construction Using Theory-Guided Sampling and Randomised Search -- Foundations of Onto-Relational Learning -- L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning -- Logical Hierarchical Hidden Markov Models for Modeling User Activities -- Learning with Kernels in Description Logics -- Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms -- A Comparison between Two Statistical Relational Models -- Brave Induction -- A Statistical Approach to Incremental Induction of First-Order Hierarchical Knowledge Bases -- A Note on Refinement Operators for IE-Based ILP Systems -- Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach -- Learning Block-Preserving Outerplanar Graph Patterns and Its Application to Data Mining.
520 _aThis book constitutes the refereed proceedings of the 18th International Conference on Inductive Logic Programming, ILP 2008, held in Prague, Czech Republic, in September 2008. The 20 revised full papers presented together with the abstracts of 5 invited lectures were carefully reviewed and selected during two rounds of reviewing and improvement from 46 initial submissions. All current topics in inductive logic programming are covered, ranging from theoretical and methodological issues to advanced applications. The papers present original results in the first-order logic representation framework, explore novel logic induction frameworks, and address also new areas such as statistical relational learning, graph mining, or the semantic Web.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer programming.
_94169
650 0 _aMachine theory.
_9126590
650 0 _aAlgorithms.
_93390
650 0 _aData mining.
_93907
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aProgramming Techniques.
_9126591
650 2 4 _aFormal Languages and Automata Theory.
_9126592
650 2 4 _aAlgorithms.
_93390
650 2 4 _aData Mining and Knowledge Discovery.
_9126593
700 1 _aŽelezný, Filip.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9126594
700 1 _aLavrač, Nada.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9126595
710 2 _aSpringerLink (Online service)
_9126596
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540859277
776 0 8 _iPrinted edition:
_z9783540859703
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5194
_9126597
856 4 0 _uhttps://doi.org/10.1007/978-3-540-85928-4
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