Combining Pattern Classifiers: Methods and Algorithms / Edition 1

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $110.99
Usually ships in 1-2 business days
(Save 26%)
Other sellers (Hardcover)
  • All (1) from $110.99   
  • Used (1) from $110.99   
Close
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any BN.com coupons and promotions
$110.99
Seller since 2008

Feedback rating:

(2282)

Condition:

New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

Good
0471210781 Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc... All day low prices, buy from us sell to us we do it all!!

Ships from: Aurora, IL

Usually ships in 1-2 business days

  • Canadian
  • Standard, 48 States
  • Express, 48 States
Page 1 of 1
Showing All
Close
Sort by

Overview

Covering pattern classification methods, Combining Classifiers: Ideas and Methods focuses on the important and widely studied issue of how to combine several classifiers together in order to achieve improved recognition performance. It is one of the first books to provide unified, coherent, and expansive coverage of the topic and as such will be welcomed by those involved in the area. With case studies that bring the text alive and demonstrate 'real-world' applications it is destined to become essential reading.

Read More Show Less

Editorial Reviews

From the Publisher
The well written 'Combining Pattern Classifiers'…is all about how patterns are to be recognized and interpreted." (Journal of Statistical Computation and Simulation, March 2006)

"In a clear and straightforward manner, the author provides a much-needed road map through a multifaceted and often controversial subject…" (International Journal of General Systems, June 2005)

"The book is very interesting and is written on a high scientific level…" (Mathematical Reviews, 2006c)

"...a unique and perfect book for researchers and practitioners who want to get a grasp of this new exciting area." (Journal of Intelligent & Fuzzy Systems, Vol. 16, No. 2, 2005)

"...a well-written and timely book, the first of its kind...a welcome contribution to pattern recognition...I would keep this book in my library." (Technometrics, November 2005)

"…destined to become essential reading…" (Zentralblatt MATH, Vol. 1066 (17), 2005)

Read More Show Less

Product Details

  • ISBN-13: 9780471210788
  • Publisher: Wiley
  • Publication date: 7/1/2004
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 376
  • Product dimensions: 6.48 (w) x 9.47 (h) x 1.09 (d)

Meet the Author

LUDMILA I. KUNCHEVA is a Senior Lecturer in the School of Informatics at the University of Wales, Bangor, UK.

Read More Show Less

Table of Contents

Preface.

Acknowledgments.

Notations and Acronyms.

1. Fundamentals of Pattern Recognition.

1.1 Basic Concepts: Class, Feature, Data Set.

1.2 Classifier, Discriminant Functions, Classification Regions.

1.3 Classification Error and Classification Accuracy.

1.4 Experimental Comparison of Classifiers.

1.5 Bayes Decision Theory.

1.6 A Taxonomy of Classifier Design Methods.

1.7 Clustering.

Appendix.

2. Base Classifiers.

2.1 Linear and Quadratic Classifiers.

2.2 Nonparametric Classifiers.

2.3 The k-nearest Neighbor Rule.

2.4 Tree Classifiers.

2.5 Neural Networks.

Appendix.

3. Multiple Classifier Systems.

3.1 Philosophy.

3.2 Terminologies and Taxonomies.

3.3 To Train or Not to Train?

3.4 Remarks.

4. Fusion of Label Outputs.

4.1 Types of Classifier Outputs.

4.2 Majority Vote.

4.3 Weighted Majority Vote.

4.4 “Naïve”-Bayes Combination.

4.5 Multinomial Methods.

4.6 Probabilistic Approximation.

4.7 SVD Combination.

4.8 Conclusions.

Appendix.

5. Fusion of Continuous-Valued Outputs.

5.1 How Do We Get Probability Outputs?

5.2 Class-Conscious Combiners.

5.3 Class-Indifferent Combiners.

5.4 Where Do the Simple Combiners Come From?

5.5 Appendix.

6. Classifier Selection.

6.1 Preliminaries.

6.2 Why Classifier Selection Works.

6.3 Estimating Local Competence Dynamically.

6.4 Pre-estimation of the Competence Regions.

6.5 Selection or Fusion?

6.6 Base Classifiers and Mixture of Experts.

7. Bagging and Boosting.

7.1 Bagging.

7.2 Boosting.

7.3 Bias-Variance Decomposition.

7.1 Which is Better: Bagging or Boosting?

Appendix.

8. Miscellanea.

8.1 Feature Selection.

8.2 Error Correcting Output Codes (ECOC).

8.3 Combining Clustering Results.

Appendix.

9. Theoretical Views and Results.

9.1 Equivalence of Simple Combination Rules.

9.2 Added Error for the Mean Combination Rule.

9.3 Added Error for the Weighted Mean Combination.

9.4 Ensemble Error for Normal and Uniform Distributions.

10. Diversity in Classifier Ensembles.

10.1 What is Diversity?

10.2 Measuring Diversity in Classifier Ensembles.

10.3 Relationship Between Diversity and Accuracy.

10.4 Using Diversity.

10.5 Conclusions: Diversity of Diversity.

Appendix A: Equivalence Between the Averaged Disagreement Measure Dav and Kohavi—Wolpert KW.

Appendix B: Matlab Code for Some Overproduce and Select Algorithms.

References.

Index.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)