Titlebook: Inductive Logic Programming; 12th International C Stan Matwin,Claude Sammut Conference proceedings 2003 Springer-Verlag Berlin Heidelberg 2

Trypsin

Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming how SubdueCL performs with the conceptual graphs representation. Second, we experiment with several flat and relational domains. The results of the comparison show that the SubdueCL system is competitive with ILP systems in both flat and relational domains.

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消极词汇

seroma

Revision of First-Order Bayesian Classifiersend our revision algorithm to return the highest probabilistic scoring BLP and argue that for a classi- fication task our approach, which uses techniques of theory revision and so searches a smaller hypotheses space, can be a more adequate choice.

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技术

Overthrow

A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammarsce. On the other hand, in the spirit of distribution estimation algorithms, the grammar is enriched with derivation probabilities. By exploiting such probabilities, GP avoids the intron phenomenon..The approach is illustrated on a real-world like problem, the identification of behavioral laws in Mechanics.

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似少年

brassy

0302-9743 1, 2002. The conference was colocated with two other events, the Nineteenth International Conference on Machine Learning (ICML2002) and the Fifteenth Annual Conference on Computational Learning Theory (COLT2002). Startedin1991,InductiveLogicProgrammingistheleadingannualforumfor researchers working i