国外机器学习和模式识别经典教材PRML 习题解答

Pattern Recognition and Machine Learning

Solutions to the Exercises: Tutors’ Edition

Markus Svens

´

en and Christopher M. Bishop

Copyright

c

 2002–2009

This is the solutions manual (Tutors’ Edition) for the book Pattern Recognition and Machine Learning

(PRML; published by Springer in 2006). This release was created September 8, 2009. Any future releases

(e.g. with corrections to errors) will be announced on the PRML web-site (see below) and published via

The authors would like to express their gratitude to the various people who have provided feedback on

earlier releases of this document.

The authors welcome all comments, questions and suggestions about the solutions as well as reports on

(potential) errors in text or formulae in this document; please send any such feedback to

Further information about PRML is available from

Chapter 1: Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

Chapter 8: Graphical Models . . . . . . . . . . . . . . . . . . . . . . . . 136

Chapter 9: Mixture Models and EM . . . . . . . . . . . . . . . . . . . . 150

Chapter 10: Approximate Inference . . . . . . . . . . . . . . . . . . . . . 163

Chapter 11: Sampling Methods . . . . . . . . . . . . . . . . . . . . . . . 198

Chapter 12: Continuous Latent Variables . . . . . . . . . . . . . . . . . . 207

Chapter 13: Sequential Data . . . . . . . . . . . . . . . . . . . . . . . . 223

Chapter 14: Combining Models . . . . . . . . . . . . . . . . . . . . . . . 246