Therapeutic Potential of Furin Inhibition: An Evaluation Using a Conditional Furin Knockout Mouse Model (Colloquium Series on Protein Activation and Cancer)

�diteur

Morgan & Claypool

Date de parution

2012

Langue

anglais

ISBN � 10 chiffres

1615045252

ISBN � 13 chiffres

9781615045259

Reliure

Paperback

�tat de l'article

Very Good

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A propos de ce titre

Synopsis

An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.

� propos de l?auteur

Laboratory for Biochemical Neuroendocrinology, Department of Human Genetics, University of Leuven, Belgium

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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