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Lazy Learning

Overview of attention for book
Cover of 'Lazy Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Editorial
  3. Altmetric Badge
    Chapter 2 Locally Weighted Learning
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    Chapter 3 Locally Weighted Learning for Control
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    Chapter 4 Voting over Multiple Condensed Nearest Neighbors
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    Chapter 5 Tolerating Concept and Sampling Shift in Lazy Learning Using Prediction Error Context Switching
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    Chapter 6 Discretisation in Lazy Learning Algorithms
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    Chapter 7 Intelligent Selection of Instances for Prediction Functions in Lazy Learning Algorithms
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    Chapter 8 The Racing Algorithm: Model Selection for Lazy Learners
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    Chapter 9 Context-Sensitive Feature Selection for Lazy Learners
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    Chapter 10 Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms
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    Chapter 11 A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
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    Chapter 12 Lazy Acquisition of Place Knowledge
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    Chapter 13 A Teaching Strategy for Memory-Based Control
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    Chapter 14 Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans
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    Chapter 15 IGTree: Using Trees for Compression and Classification in Lazy Learning Algorithms
Attention for Chapter 11: A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
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Citations

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Summary Dimensions citations
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Chapter title
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
Chapter number 11
Book title
Lazy Learning
Published by
Springer, Dordrecht, January 1997
DOI 10.1007/978-94-017-2053-3_11
Book ISBNs
978-9-04-814860-8, 978-9-40-172053-3
Authors

Dietrich Wettschereck, David W. Aha, Takao Mohri, Wettschereck, Dietrich, Aha, David W., Mohri, Takao

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 290 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 1%
United Kingdom 3 1%
Switzerland 2 <1%
United States 2 <1%
Netherlands 2 <1%
Turkey 2 <1%
Malaysia 1 <1%
Austria 1 <1%
Australia 1 <1%
Other 9 3%
Unknown 263 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 27%
Student > Master 36 12%
Researcher 29 10%
Student > Bachelor 18 6%
Student > Doctoral Student 16 6%
Other 49 17%
Unknown 64 22%
Readers by discipline Count As %
Computer Science 117 40%
Engineering 50 17%
Chemistry 9 3%
Agricultural and Biological Sciences 5 2%
Social Sciences 4 1%
Other 28 10%
Unknown 77 27%

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