• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Therapeutic Potential of Furin Inhibition: An Evaluation Using a Conditional Furin Knockout Mouse Model

Therapeutic Potential of Furin Inhibition: An Evaluation Using a Conditional Furin Knockout Mouse Model

Paperback

Series: Colloquium Protein Activation and Cancer

BiologyChemistry

ISBN10: 1615045252
ISBN13: 9781615045259
Publisher: Morgan & Claypool
Published: Oct 1 2012
Pages: 30
Weight: 0.16
Height: 0.07 Width: 7.50 Depth: 9.25
Language: English
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.

Also in

Chemistry