Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming)
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. Get and download textbook Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming) for free
8th International Conference, ILP-98, Madison, Wisconsin, USA, July 22-24, 1998 Proceedings | Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg | 1998 | 316 pages | ISBN-13: 9783540647386 | ISBN-10: 3540647384 | You save 20%
In this book they provide an extended, up-to-date survey of ILP, emphasizing methods and systems suitable for software engineering applications, including inductive program development, testing, and maintenance.Inductive Logic Programming includes a definition of the basic ILP problem and its variations (i Inductive Logic Programming new edition
Download free books for Inductive Logic Programming, 16 conf., ILP 2006
Inductive Logic Programming, 16 conf., ILP 2006: Alireza Tamaddoni-Nezhad, Ramon Otero, Stephen Muggleton
Categories: Logic programming, Evolution->General, Logic programming. Contributors: Francesco Bergadano - Author. Format: Paperback
Categories: Logic programming->Congresses. Contributors: Filip Zelezn - Author. Format: Paperback
Categories: Logic programming->Congresses, Automatic hypothesis formation->Congresses, Logic programming. Contributors: Stefan Kramer - Author. Format: Paperback
Inductive Logic Programming Textbook
Inductive Logic Programming includes a definition of the basic ILP problem and its variations (i
