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Lazy Learning

Overview of attention for book
Lazy Learning
Springer Netherlands

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Editorial
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    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 12: Lazy Acquisition of Place Knowledge
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5 Mendeley
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Chapter title
Lazy Acquisition of Place Knowledge
Chapter number 12
Book title
Lazy Learning
Published by
Springer, Dordrecht, January 1997
DOI 10.1007/978-94-017-2053-3_12
Book ISBNs
978-9-04-814860-8, 978-9-40-172053-3
Authors

Pat Langley, Karl Pfleger, Mehran Sahami, Langley, Pat, Pfleger, Karl, Sahami, Mehran

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Professor 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Professor > Associate Professor 1 20%
Other 0 0%
Readers by discipline Count As %
Psychology 2 40%
Computer Science 1 20%
Agricultural and Biological Sciences 1 20%
Medicine and Dentistry 1 20%

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