Pattern Recognition and Machine Learning
2324 Kč
Odesíláme do 3 až 5 dní
Sleva až 70% u třetiny knih
This is the first textbook on pattern recognition to present the Bayesian viewpoint. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible, and it uses graphical models to describe probability distributions.
| Autor: | Bishop, Christopher M. |
| Nakladatel: | Springer-Verlag New York Inc. |
| ISBN: | 9780387310732 |
| Rok vydání: | 2006 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 738 |
Mohlo by se vám také líbit..
-
Introduction to Biometrics
Maltoni, Davide; Maio, Dario; Jain, Anil; Prabhakar, Salil
-
Medical Informatics
-
An Introduction to Homological Algebra
Rotman, Joseph J.
-
Applications of Lie Groups to Differ...
Olver, Peter J.
-
First Steps in Differential Geometry
McInerney, Andrew
-
Exploring Science Through Science Fi...
Luokkala, Barry B.
-
Handbook of Neurochemistry and Molec...
-
Geometry
Borovik, Alexandre V.; White, Neil; Gelfand, Israel M.
-
Introduction to Analytic Number Theory
Apostol, Tom
-
Modern Food Microbiology
Jay, James M.; Loessner, Martin J.; Golden, David A.
-
Instructional Design: The ADDIE Appr...
Branch, Robert Maribe
-
Mathematical Biology
Murray, James T.
-
Naive Lie Theory
Stillwell, John
-
Rare Earth
Ward, Peter
-
An Introduction to Mathematical Crypt...
Hoffstein, Jeffrey; Pipher, Jill; Silverman, Joseph H.
-
The Purchasing Chessboard
Schuh, Christian
