Trypsin 发表于 2025-3-25 06:26:15
Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programminghow 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.是他笨 发表于 2025-3-25 10:17:33
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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.议程 发表于 2025-3-25 22:22:02
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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.等待 发表于 2025-3-26 10:25:48
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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