An Elementary Introduction to Statistical Learning Theory

4 avg rating
( 3 ratings by Goodreads )
 
9780470641835: An Elementary Introduction to Statistical Learning Theory

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning

A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference.

Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting.

Appendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further study.

An Elementary Introduction to Statistical Learning Theory is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upper-undergraduate and graduate levels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic.

"synopsis" may belong to another edition of this title.

About the Author:

SANJEEV KULKARNI, PhD, is Professor in the Department of Electrical Engineering at Princeton University, where he is also an affiliated faculty member in the Department of Operations Research and Financial Engineering and the Department of Philosophy. Dr. Kulkarni has published widely on statistical pattern recognition, nonparametric estimation, machine learning, information theory, and other areas. A Fellow of the IEEE, he was awarded Princeton University's President's Award for Distinguished Teaching in 2007.

GILBERT HARMAN, PhD, is James S. McDonnell Distinguished University Professor in the Department of Philosophy at Princeton University. A Fellow of the Cognitive Science Society, he is the author of more than fifty published articles in his areas of research interest, which include ethics, statistical learning theory, psychology of reasoning, and logic.

Review:

“The main focus of the book is on the ideas behind basic principles of learning theory and I can strongly recommend the book to anyone who wants to comprehend these ideas.”  (Mathematical Reviews, 1 January  2013)

“It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic.”  (Zentralblatt MATH, 2012)

 

"About this title" may belong to another edition of this title.

Top Search Results from the AbeBooks Marketplace

1.

Sanjeev Kulkarni; Gilbert Harman
Published by Wiley (2011)
ISBN 10: 0470641835 ISBN 13: 9780470641835
New Hardcover First Edition Quantity Available: 1
Seller:
Irish Booksellers
(Rumford, ME, U.S.A.)
Rating
[?]

Book Description Wiley, 2011. Hardcover. Book Condition: New. book. Bookseller Inventory # M0470641835

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 97.58
Convert Currency

Add to Basket

Shipping: FREE
Within U.S.A.
Destination, Rates & Speeds

2.

Kulkarni, Sanjeev, Harman, Gilbert
Published by Wiley (2017)
ISBN 10: 0470641835 ISBN 13: 9780470641835
New Hardcover Quantity Available: 2
Print on Demand
Seller:
Murray Media
(North Miami Beach, FL, U.S.A.)
Rating
[?]

Book Description Wiley, 2017. Hardcover. Book Condition: New. Never used! This item is printed on demand. Bookseller Inventory # P110470641835

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 100.51
Convert Currency

Add to Basket

Shipping: US$ 1.99
Within U.S.A.
Destination, Rates & Speeds

3.

Sanjeev Kulkarni, Gilbert Harman
Published by John Wiley and Sons Ltd, United States (2011)
ISBN 10: 0470641835 ISBN 13: 9780470641835
New Hardcover Quantity Available: 1
Seller:
The Book Depository US
(London, United Kingdom)
Rating
[?]

Book Description John Wiley and Sons Ltd, United States, 2011. Hardback. Book Condition: New. Language: English . Brand New Book. A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting. Appendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further study. An Elementary Introduction to Statistical Learning Theory is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upper-undergraduate and graduate levels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic. Bookseller Inventory # AAH9780470641835

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 109.45
Convert Currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, Rates & Speeds

4.

Sanjeev Kulkarni
Published by Wileyand#8211;Blackwell (2011)
ISBN 10: 0470641835 ISBN 13: 9780470641835
New Quantity Available: > 20
Print on Demand
Seller:
Pbshop
(Wood Dale, IL, U.S.A.)
Rating
[?]

Book Description Wileyand#8211;Blackwell, 2011. HRD. Book Condition: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IP-9780470641835

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 107.67
Convert Currency

Add to Basket

Shipping: US$ 3.99
Within U.S.A.
Destination, Rates & Speeds

5.

Kulkarni, Sanjeev
Published by Wileyand#8211;Blackwell (2011)
ISBN 10: 0470641835 ISBN 13: 9780470641835
New Quantity Available: 4
Seller:
Books2Anywhere
(Fairford, GLOS, United Kingdom)
Rating
[?]

Book Description Wileyand#8211;Blackwell, 2011. HRD. Book Condition: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Bookseller Inventory # FW-9780470641835

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 100.05
Convert Currency

Add to Basket

Shipping: US$ 11.99
From United Kingdom to U.S.A.
Destination, Rates & Speeds

6.

Sanjeev Kulkarni, Gilbert Harman
Published by John Wiley and Sons Ltd, United States (2011)
ISBN 10: 0470641835 ISBN 13: 9780470641835
New Hardcover Quantity Available: 1
Seller:
The Book Depository
(London, United Kingdom)
Rating
[?]

Book Description John Wiley and Sons Ltd, United States, 2011. Hardback. Book Condition: New. Language: English . Brand New Book. A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting. Appendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further study. An Elementary Introduction to Statistical Learning Theory is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upper-undergraduate and graduate levels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic. Bookseller Inventory # AAH9780470641835

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 112.19
Convert Currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, Rates & Speeds

7.

Sanjeev Kulkarni, Gilbert Harman
Published by Wiley 2011-07-15, Oxford (2011)
ISBN 10: 0470641835 ISBN 13: 9780470641835
New Hardcover Quantity Available: > 20
Seller:
Blackwell's
(Oxford, OX, United Kingdom)
Rating
[?]

Book Description Wiley 2011-07-15, Oxford, 2011. hardback. Book Condition: New. Bookseller Inventory # 9780470641835

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 114.25
Convert Currency

Add to Basket

Shipping: US$ 7.99
From United Kingdom to U.S.A.
Destination, Rates & Speeds

8.

Kulkarni, Sanjeev
Published by Wileyand#8211;Blackwell (2011)
ISBN 10: 0470641835 ISBN 13: 9780470641835
New Quantity Available: > 20
Print on Demand
Seller:
Books2Anywhere
(Fairford, GLOS, United Kingdom)
Rating
[?]

Book Description Wileyand#8211;Blackwell, 2011. HRD. Book Condition: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Bookseller Inventory # IP-9780470641835

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 110.96
Convert Currency

Add to Basket

Shipping: US$ 11.99
From United Kingdom to U.S.A.
Destination, Rates & Speeds

9.

Harman Gilbert Kulkarni Sanjeev
Published by John Wiley & Sons
ISBN 10: 0470641835 ISBN 13: 9780470641835
New Quantity Available: 1
Seller:
Majestic Books
(London, ,, United Kingdom)
Rating
[?]

Book Description John Wiley & Sons. Book Condition: New. pp. 232. Bookseller Inventory # 5483258

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 117.11
Convert Currency

Add to Basket

Shipping: US$ 7.33
From United Kingdom to U.S.A.
Destination, Rates & Speeds

10.

Sanjeev Kulkarni
Published by John Wiley & Sons
ISBN 10: 0470641835 ISBN 13: 9780470641835
New Hardcover Quantity Available: 6
Seller:
THE SAINT BOOKSTORE
(Southport, United Kingdom)
Rating
[?]

Book Description John Wiley & Sons. Hardcover. Book Condition: New. New copy - Usually dispatched within 2 working days. Bookseller Inventory # B9780470641835

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 124.48
Convert Currency

Add to Basket

Shipping: US$ 9.24
From United Kingdom to U.S.A.
Destination, Rates & Speeds

There are more copies of this book

View all search results for this book