My Library

University LibraryCatalogue

     
Limit search to items available for borrowing or consultation
Result Page: Previous Next
Can't find that book? Try BONUS+
 
Look for full text

Search Discovery

Search CARM Centre Catalogue

Search Trove

Add record to RefWorks

PRINTED BOOKS
Author Bishop, Christopher M.

Title Pattern recognition and machine learning / Christopher M. Bishop.

Published New York : Springer, [2006]
©2006

Copies

Location Call No. Status
 UniM BioMed High Use  006.4 BISH  OVERNIGHT LOAN  AVAILABLE
 UniM ERC  006.4 BISH  SEVEN DAY LOAN  AVAILABLE
 UniM BioMed High Use  006.4 BISH  OVERNIGHT LOAN  AVAILABLE
 UniM ERC  006.4 BISH  SEVEN DAY LOAN  AVAILABLE
 UniM ERC  006.4 BISH  SEVEN DAY LOAN  AVAILABLE
 UniM ERC  006.4 BISH  SEVEN DAY LOAN  AVAILABLE
Physical description xx, 738 pages : illustrations (chiefly colour) ; 25 cm.
Series Information science and statistics.
Information science and statistics.
Bibliography Includes bibliographical references and index.
Summary "This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory."--Publisher's website.
Audience Textbook for graduates.
Subject Pattern perception.
Machine learning.
ISBN 9780387310732 (hardback : acid-free paper)
0387310738 (hardback : acid-free paper)