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AuthorILP 2002 (2002 : Sydney, N.S.W.)
TitleInductive logic programming : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002 : revised papers / Stan Matwin, Claude Sammut (eds.)
Imprint Berlin : Springer, c2002
Descript x, 349 p. : ill. ; 24 cm

CONTENT

Propositionalization for clustering symbolic relational descriptions -- Efficient and effective induction of first order decision lists -- Learning with feature description logics -- An empirical evaluation of bagging in inductive logic programming -- Kernels for structured data -- Experimental comparison of graph-based relational concept learning with inductive logic programming systems -- Autocorrelation and linkage cause bias in evaluation of relational learners -- Learnability of description logic programs -- 1BC2: A True first-order bayesian classifier -- RSD: Relational subgroup discovery through forst-order feature construction -- Mining frequent logical sequences with SPIRIT-LoG -- Using theory completion to learn a robot navigation control program -- Learning structure and parameters of stochastic logic programs -- A Novel approach to machine discovery: genetic programming and stochastic grammars -- Revision of first-order bayesian classifiers -- The applicability of ILP results concerning the ordering of binomial populations -- Compact representation of knowledge bases in ILP -- A Polynomial time matching algorithm of structured ordered tree patterns for data mining from semistructured data -- A Genetic algorithms approach to ILP -- Experimental investigation of pruning methods for relational pattern discovery -- Noise-resistant incremental relational learning using possible worlds -- Lattice-search runtime distributions may be heavy-tailed -- Learning in rich representations: Inductive logic programming and computational scientific discovery


Logic programming -- Congresses

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