Titlebook: Inductive Logic Programming; 18th International C Filip ?elezny,Nada Lavra? Conference proceedings 2008 Springer-Verlag Berlin Heidelberg 2

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書目名稱Inductive Logic Programming影響因子(影響力)




書目名稱Inductive Logic Programming影響因子(影響力)學(xué)科排名




書目名稱Inductive Logic Programming網(wǎng)絡(luò)公開度




書目名稱Inductive Logic Programming網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Inductive Logic Programming被引頻次




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書目名稱Inductive Logic Programming年度引用




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書目名稱Inductive Logic Programming讀者反饋




書目名稱Inductive Logic Programming讀者反饋學(xué)科排名

Perennial長期的

An Experiment in Robot Discovery with ILPh predicate invention. In the first experimental scenario in a pushing blocks domain, the robot discovers the notion of objects’ movability. The second scenario is about discovering the notion of obstacle. We describe experiments with a simulated robot, as well as an experiment with a real robot when robot’s observations contain noise.

憂傷

Lipohypertrophy

gastritis

ANTI

枯萎將要

L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learningication improves the performance of induced grammars when learning on short, medium or long NPPs-middles. A potential disadvantage of L-modification is discussed. Finally, we show that, as the limit on the search space size increases, the greater is the increase in predictive performance arising from L-modification.

Predigest

linear

Erythropoietin

Logical Hierarchical Hidden Markov Models for Modeling User Activitiesierarchical HMMs. We outline two inference algorithms: one based on grounding the LoHiHMM to a propositional HMM and the other based on particle filtering adapted for this setting. We present the results of our experiments with the model in two simulated domains.