Uncertainty in Artificial Intelligence 5 (ISSN: Volume 10)
By: and and and
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- Synopsis
- This volume, like its predecessors, reflects the cutting edge of research on the automation of reasoning under uncertainty.A more pragmatic emphasis is evident, for although some papers address fundamental issues, the majority address practical issues. Topics include the relations between alternative formalisms (including possibilistic reasoning), Dempster-Shafer belief functions, non-monotonic reasoning, Bayesian and decision theoretic schemes, and new inference techniques for belief nets. New techniques are applied to important problems in medicine, vision, robotics, and natural language understanding.
- Copyright:
- 1990
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 456 Pages
- ISBN-13:
- 9781483296555
- Related ISBNs:
- 9780444887382
- Publisher:
- Elsevier Science
- Date of Addition:
- 04/16/21
- Copyrighted By:
- Elsevier Science & Technology
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Business and Finance
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- R.D. Shachter
- Edited by:
- L.N. Kanal
- Edited by:
- M. Henrion
- Edited by:
- J.F. Lemmer
Reviews
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- by M. Henrion
- by J. F. Lemmer
- by R. D. Shachter
- by L. N. Kanal
- in Nonfiction
- in Computers and Internet
- in Business and Finance