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

矜持

书目名称Inductive Logic Programming影响因子(影响力)




书目名称Inductive Logic Programming影响因子(影响力)学科排名




书目名称Inductive Logic Programming网络公开度




书目名称Inductive Logic Programming网络公开度学科排名




书目名称Inductive Logic Programming被引频次




书目名称Inductive Logic Programming被引频次学科排名




书目名称Inductive Logic Programming年度引用




书目名称Inductive Logic Programming年度引用学科排名




书目名称Inductive Logic Programming读者反馈




书目名称Inductive Logic Programming读者反馈学科排名

Perennial长期的

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.

忧伤

Lipohypertrophy

gastritis

ANTI

枯萎将要

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.