An Inductive Logic Programming Approach to Statistical Relational Learning: 148 - Rilegato

Kersting, Kristian

Rilegato

ISBN 10: 1586036742 ISBN 13: 9781586036744

Casa editrice: Ios Pr Inc, 2006

Riassunto

In artificial intelligence, statistical relational learning addresses the integration of probabilistic reasoning with first order logic representation and machine learning. In this treatise, Kersting (Institute for Computer Science, Albert-Ludwigs-U. Freiburg, Germany) develops a general framework of probabilistic inductive logic programming as a foundation for his approach to statistical relational learning, which incorporates the logical concepts of objects and relations among objects into Bayesian networks. Further, Bayesian networks are upgraded to Bayesian logic programs, hidden Markov models to logical hidden Markov models, and Markov decision process to Markov decision programs. Finally, he seeks to show that statistical relational learning approaches naturally yield kernels for structured data and demonstrates these approaches using examples from genetics, bio-informatics, and classical planning domains. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)

Dettagli dell?edizione

• Editore: Ios Pr Inc
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 1586036742
• ISBN 13: 9781586036744
• Rilegatura: Copertina rigida
• Numero di pagine: 228
• Contatto del produttore: non disponibile