Order Total (1 Item Items):
Shipping Destination:
Friedman Nir Koller Daphne (18 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (18)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (9)
- As New, Fine or Near Fine (2)
- Very Good or Good (6)
- Fair or Poor (1)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (18)
- Softcover (No further results match this refinement)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (6)
- Not Print on Demand (18)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
Language: English
Published by The MIT Press (edition 1), 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Hardcover. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
-
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
-
hardcover. Condition: Acceptable.
-
hardcover. Condition: Good.
-
Hardcover. Condition: Good. Satisfaction 100% guaranteed.
-
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
-
Probabilistic Graphical Models : Principles and Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
-
Condition: New.
-
-
Probabilistic Graphical Models : Principles and Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
PROBABILISTIC GRAPHICAL MODELS: PRINCIPLES AND TECHNIQUES
Language: English
Published by The MIT Press Bookstore, 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Condition: New. pp. 1280.
-
Condition: As New. Unread book in perfect condition.
-
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
-
Probabilistic Graphical Models : Principles and Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
-
PROBABILISTIC GRAPHICAL MODELS: PRINCIPLES AND TECHNIQUES
Language: English
Published by The MIT Press Bookstore, 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Condition: New. pp. 1280.
-
Probabilistic Graphical Models: Principles And Techniques
Language: English
Published by Mit Press, 2009
Hardcover. Condition: New. ISBN:9780262013192.
-
Condition: New. Daphne Koller is Professor in the Department of Computer Science at Stanford University.Nir Friedman is Professor in the Department of Computer Science and Engineering at Hebrew University.A general framework for constructing and using probab.
