Overview

Full Product Details

Author:   David W. Aha
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of the original 1st ed. 1997
Dimensions:   Width: 21.00cm , Height: 2.20cm , Length: 27.90cm
Weight:   1.058kg
ISBN:  

9789048148608

ISBN 10:   904814860
Pages:   424
Publication Date:   01 December 2010
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Editorial.- Locally Weighted Learning.- Locally Weighted Learning for Control.- Voting over Multiple Condensed Nearest Neighbors.- Tolerating Concept and Sampling Shift in Lazy Learning Using Prediction Error Context Switching.- Discretisation in Lazy Learning Algorithms.- Intelligent Selection of Instances for Prediction Functions in Lazy Learning Algorithms.- The Racing Algorithm: Model Selection for Lazy Learners.- Context-Sensitive Feature Selection for Lazy Learners.- Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms.- A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms.- Lazy Acquisition of Place Knowledge.- A Teaching Strategy for Memory-Based Control.- Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans.- IGTree: Using Trees for Compression and Classification in Lazy Learning Algorithms.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions