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Lazy Learning |
David W. Aha
Springer Netherlands
Lazy Learning
Locally Weighted Learning
Authors

Christopher G. Atkeson; Andrew W. Moore; Stefan Schaal

ARI Id

1664765712801_3128427

Access

Not Available Free

Pages

11-73

DOI

10.1007/978-94-017-2053-3_2

Chapter URL

https://rd.springer.com/chapter/10.1007/978-94-017-2053-3_2

Table of Contents of Book
Showing 1 to 16 of 16 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-6
Editorial
David W. Aha
7-10
Locally Weighted Learning
Christopher G. Atkeson; Andrew W. Moore; Stefan Schaal
11-73
Locally Weighted Learning for Control
Christopher G. Atkeson; Andrew W. Moore; Stefan Schaal
75-113
Voting over Multiple Condensed Nearest Neighbors
Ethem Alpaydin
115-132
Tolerating Concept and Sampling Shift in Lazy Learning Using Prediction Error Context Switching
Marcos Salganicoff
133-155
Discretisation in Lazy Learning Algorithms
Kai Ming Ting
157-174
Intelligent Selection of Instances for Prediction Functions in Lazy Learning Algorithms
Jianping Zhang; Yee-Sat Yim; Junming Yang
175-191
The Racing Algorithm: Model Selection for Lazy Learners
Oded Maron; Andrew W. Moore
193-225
Context-Sensitive Feature Selection for Lazy Learners
Pedro Domingos
227-253
Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms
Charles X. Ling; Handong Wang
255-272
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
Dietrich Wettschereck; David W. Aha; Takao Mohri
273-314
Lazy Acquisition of Place Knowledge
Pat Langley; Karl Pfleger; Mehran Sahami
315-342
A Teaching Strategy for Memory-Based Control
John W. Sheppard; Steven L. Salzberg
343-370
Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans
Daniel Borrajo; Manuela Veloso
371-405
IGTree: Using Trees for Compression and Classification in Lazy Learning Algorithms
Walter Daelemans; Antal Van Den Bosch; Ton Weijters
407-423
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 16 of 16 entries
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