Machine Learning : Discriminative and Generative /

Machine Learning: Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative support-vector machines. However, unlike previous books that only discuss these rather different approaches in isolation, it...

Full description

Bibliographic Details
Main Author:	Jebara, Tony
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Boston, MA : Springer US, 2004.
Series:	International series in engineering and computer science ; 755.
Subjects:	Computer science. Information storage and retrieval systems. Artificial intelligence. Computer vision. Statistics. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

List of Figures
List of Tables
Preface
Acknowledgments
1. Introduction
2. Generative Versus Discriminative Learning
3. Maximum Entropy Discrimination
4. Extensions To MED
5. Latent Discrimination
6. Conclusion
7. Appendix
Index.