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Inductive Logic Programming by Francesco Bergadano-P2P

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Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the research in ILP has in fact come from machine learning, particularly in the evolution of inductive reasoning from pattern recognition, through initial approaches to symbolic machine learning, to recent techniques for learning relational concepts. In this book they provide an extended, up-to-date survey of ILP, emphasizing methods and systems suitable for software engineering applications..

Inductive Logic Programming: From Machine Learning to Software Engineering by Francesco Bergadano, Daniele Gunetti-P2P
English | 135  pages | ePUB | 7.0  MB
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