عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781441990112
(Number (ISBN
9781461347569
NATIONAL BIBLIOGRAPHY NUMBER
Number
dltt
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Machine Learning
General Material Designation
[Book]
Other Title Information
Discriminative and Generative /
First Statement of Responsibility
by Tony Jebara.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boston, MA :
Name of Publisher, Distributor, etc.
Imprint: Springer,
Date of Publication, Distribution, etc.
2004.
SERIES
Series Title
International Series in Engineering and Computer Science,
Volume Designation
755
ISSN of Series
0893-3405 ;
CONTENTS NOTE
Text of Note
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.
0
SUMMARY OR ABSTRACT
Text of Note
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 bridges the two schools of thought together within a common framework, elegantly connecting their various theories and making one common big-picture. Also, this bridge brings forth new hybrid discriminative-generative tools that combine the strengths of both camps. This book serves multiple purposes as well. The framework acts as a scientific breakthrough, fusing the areas of generative and discriminative learning and will be of interest to many researchers. However, as a conceptual breakthrough, this common framework unifies many previously unrelated tools and techniques and makes them understandable to a larger portion of the public. This gives the more practical-minded engineer, student and the industrial public an easy-access and more sensible road map into the world of machine learning. Machine Learning: Discriminative and Generative is designed for an audience composed of researchers & practitioners in industry and academia. The book is also suitable as a secondary text for graduate-level students in computer science and engineering.
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9781461347569
PIECE
Title
Springer eBooks
TOPICAL NAME USED AS SUBJECT
Artificial intelligence.
Computer science.
Computer vision.
Information storage and retrieval systems.
Statistics.
PERSONAL NAME - PRIMARY RESPONSIBILITY
Jebara, Tony.
CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY
SpringerLink (Online service)
ORIGINATING SOURCE
Date of Transaction
20190307155100.0
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
