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Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming)

Francesco Bergadano, Daniele Gunetti




[PDF.tz90] Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming)

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 | #3191825 in Books |  MIT Press |  1995-12-28 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  8.80 x.30 x5.90l,1.33 | File type: PDF | 256 pages

||1 of 1 people found the following review helpful.| Inductive Logice Programming|By stephenstefl|I like this book a lot, It really gets down to the real knitty gritty of logic, and machine learning. It gives good ideas for programming, no matter which language you use...|0 of 0 people found the following review helpful.| Inference Dynamics|By Joseph J Grenier|Excellent.|1 of 5| |"This is a very fine essay on naturalistic epistemology. Kornblith's work will be a distinctive contribution at the interface of philosophy and cognitive science." Alvin I. Goldman, University of Arizona|About the Author|F

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 a...

You can specify the type of files you want, for your gadget.Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming)   |  Francesco Bergadano, Daniele Gunetti. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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