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001 978-3-642-13840-9
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020 _a9783642138409
_9978-3-642-13840-9
024 7 _a10.1007/978-3-642-13840-9
_2doi
050 4 _aQA267-268.5
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aUYA
_2thema
082 0 4 _a005.131
_223
245 1 0 _aInductive Logic Programming
_h[electronic resource] :
_b19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers /
_cedited by Luc Raedt.
250 _a1st ed. 2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _aXII, 257 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 ;
_v5989
505 0 _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?.
650 0 _aMachine theory.
650 0 _aCompilers (Computer programs).
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval systems.
650 0 _aAlgorithms.
650 0 _aData mining.
650 1 4 _aFormal Languages and Automata Theory.
650 2 4 _aCompilers and Interpreters.
650 2 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aAlgorithms.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aRaedt, Luc.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642138393
776 0 8 _iPrinted edition:
_z9783642138416
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5989
856 4 0 _uhttps://doi.org/10.1007/978-3-642-13840-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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