Book Front Matter and Preface

Apuntes

Information Science and Statistics Akaike and Kitagawa: The Practice of Time Series Analysis. Bishop: Pattern Recognition and Machine Learning. Cowell, Dawid, Lauritzen, and Spiegelhalter: Probabilistic Networks and Expert Systems. Doucet, de Freitas, and Gordon: Sequential Monte Carlo Methods in Practice. Fine: Feedforward Neural Network Methodology. Hawkins and Olwell: Cumulative Sum Charts and Charting for Quality Improvement. Jensen: Bayesian Networks and Decision Graphs. Marchette: Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint. Rubinstein and Kroese: The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte Carlo Simulation, and Machine Learning. Studený: Probabilistic Conditional Independence Structures. Vapnik: The Nature of Statistical Learning Theory, Second Edition. Wallace: Statistical and Inductive Inference by Minimum Massage Length. Christopher M. Bishop Pattern Recognition and Machine Learning Christopher M. Bishop F.R.Eng. Assistant Director Microsoft Research Ltd Cambridge CB3 0FB, U.K. cmbishop@microsoft.com http://research.microsoft.com/
cmbishop Series Editors Michael Jordan Department of Computer Science an...