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OverviewIntelligent systems require software incorporating probabilistic reasoning, and often times learning. Networks provide a framework and methodology for creating this kind of software. This paper introduces network models based on chain graphs with deterministic nodes. Chain graphs are defined as a hierarchical combination of Bayesian and Markov networks. To model learning, plates on chain graphs are introduced to model independent samples. The paper concludes by discussing various operations that can be performed on chain graphs with plates as a simplification process or to generate learning algorithms. Buntine, Wray L. Ames Research Center NAS2-13721... Full Product DetailsAuthor: National Aeronaut Administration (Nasa)Publisher: Createspace Independent Publishing Platform Imprint: Createspace Independent Publishing Platform Dimensions: Width: 21.60cm , Height: 0.20cm , Length: 27.90cm Weight: 0.091kg ISBN: 9781722337643ISBN 10: 1722337648 Pages: 28 Publication Date: 05 July 2018 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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