Titlebook: Inductive Logic Programming; 11th International C Céline Rouveirol,Michéle Sebag Conference proceedings 2001 Springer-Verlag Berlin Heidelb

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An Automated ILP Server in the Field of Bioinformatics,based method, . (HI), which acts as a filter for existing sequence similarity searches to improve their performance in the detection of remote protein homologies. HI performs a PSI-BLAST search to generate positive, negative, and uncertain examples, and collects descriptions of these examples. It th

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Towards Combining Inductive Logic Programming with Bayesian Networks, these languages. In this paper, we present results on combining . (ILP) with Bayesian networks to learn both the qualitative and the quantitative components of Bayesian logic programs. More precisely, we show how to combine the ILP setting . with score-based techniques for learning Bayesian network

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Demand-Driven Construction of Structural Features in ILP,ther unspecific way. That is, they do not construct features “on demand”, but rather in advance and without detecting the need for a representation change. Even if structural features are required, current methods do not construct these features in a goal-directed fashion..In previous work, we prese

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