The Resource Evaluating Learning Algorithms : a classification perspective, Nathalie Japkowicz, Mohak Shah

Evaluating Learning Algorithms : a classification perspective, Nathalie Japkowicz, Mohak Shah

Label
Evaluating Learning Algorithms : a classification perspective
Title
Evaluating Learning Algorithms
Title remainder
a classification perspective
Statement of responsibility
Nathalie Japkowicz, Mohak Shah
Creator
Contributor
Subject
Language
eng
Summary
  • "Technological advances, in recent decades, have made it possible to automate many tasks that previously required signi.cant amounts of manual time, performing regular or repetitive activities. Certainly, computing machines have proven to be a great asset in improving on human speed and e.ciency as well as in reducing errors in these essentially mechanical tasks. More impressively, however, the emergence of computing technologies has also enabled the automation of tasks that require signi.cant understanding of intrinsically human domains that can, in no way, be qualified as merely mechanical. While we, humans, have maintained an edge in performing some of these tasks, e.g. recognizing pictures or delineating boundaries in a given picture, we have been less successful at others, e.g., fraud or computer network attack detection, owing to the sheer volume of data involved, and to the presence of nonlinear patterns to be discerned and analyzed simultaneously within these data. Machine Learning and Data Mining, on the other hand, have heralded significant advances, both theoretical and applied, in this direction, thus getting us one step closer to realizing such goals"--
  • "The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for conducting performance evaluations of algorithms in practical settings"--
Assigning source
  • Provided by publisher
  • Provided by publisher
Cataloging source
N$T
Dewey number
006.3/1
Illustrations
illustrations
Index
index present
LC call number
Q325.5
LC item number
.J37 2011eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Label
Evaluating Learning Algorithms : a classification perspective, Nathalie Japkowicz, Mohak Shah
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references (pages 393-402) and index
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1. Introduction -- 2. Machine Learning and Statistics Overview -- 3. Performance Measures I -- 4. Performance Measures II -- 5. Error Estimation -- 6. Statistical Significance testing --7. Datasets and Experimental Framework --8. Recent Developments -- 9. Conclusion -- Appendix A: Statistical Tables -- Appendix B: Additional Information on the Data -- Appendix C: Two Case Studies
Control code
ocn726740640
Dimensions
unknown
Extent
1 online resource (xvi, 406 pages)
File format
unknown
Form of item
online
Isbn
9781139077613
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Quality assurance targets
not applicable
http://library.link/vocab/recordID
.b25346805
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)726740640
  • cbo0511921802

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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