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An Inductive Logic Programming Approach to Statistical Relational Learning
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Having taken on such a Herculean task, Kersting has produced a series of results that are now at the core of the newly emerging area: Probabilistic Inductive Logic Programming. This new area is closely related to, although strictly subsumes, the new field known as statistical relational learning which has in recent years become a big famous in America Artificial Intelligence research community. In this book, the authors made major contributions, including the introduction of a series of definitions that limit the new area formed by extending Inductive Logic Programming for the case where the clause is explained by the probability value. Also, Kersting investigate the approach of evidence and issues Learning Fisher kernel upgrade to Relational Fisher kernel. IOS Press is an international scientific, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields.
Computer eBook Details
- ISBN-10: 1586036742
- ISBN-13: 9781586036744
- Publisher: IOS Press
- Pages: 256
- Date: October 2006
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