Learning in Graphical Models
Author:   Michael I. Jordan (University of California, Berkeley) ,  Francis Bach (INRIA - Willow Project-Team)
Publisher:   MIT Press Ltd
ISBN:  

9780262600323


Pages:   644
Publication Date:   20 January 1999
Recommended Age:   From 18
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Learning in Graphical Models


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Overview

Graphical models, a marriage between probability theory and graph theory, provide a natural tool for dealing with two problems that occur throughout applied mathematics and engineering - uncertainty and complexity. This book presents an exploration of issues related to learning within the graphical model formalism. Four chapters are tutorial chapters: inference for Bayesian networks; Monte Carlo methods; variational methods; and learning with Bayesian networks. The remaining chapters cover a range of topics.

Full Product Details

Author:   Michael I. Jordan (University of California, Berkeley) ,  Francis Bach (INRIA - Willow Project-Team)
Publisher:   MIT Press Ltd
Imprint:   MIT Press
Dimensions:   Width: 17.80cm , Height: 3.20cm , Length: 25.40cm
Weight:   1.093kg
ISBN:  

9780262600323


ISBN 10:   0262600323
Pages:   644
Publication Date:   20 January 1999
Recommended Age:   From 18
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   No Longer Our Product
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

The state of the art presented by the experts in the field. Ross D. Shachter , Department of Engineering-Economic Systemsand Operations Research, Stanford University


"""The state of the art presented by the experts in the field."" Ross D. Shachter , Department of Engineering-Economic Systemsand Operations Research, Stanford University"


The state of the art presented by the experts in the field. --Ross D. Shachter, Department of Engineering-Economic Systems and Operations Research, Stanford University


Author Information

Michael I. Jordan is Professor of Computer Science and of Statistics at the University of California, Berkeley, and recipient of the ACM/AAAI Allen Newell Award.

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