Synopsis
Editorial; D.W. Aha. Locally Weighted Learning; C.G. Atkeson, et al. Locally Weighted Learning for Control; C.G. Atkeson, et al. Voting over Multiple Condensed Nearest Neighbors; E. Alpaydin. Tolerating Concept and Sampling Shift in Lazy Learning Using Prediction Error Context Switching; M. Salganicoff. Discretisation in Lazy Learning Algorithms; Kai Ming Ting. Intelligent Selection of Instances for Prediction Functions in Lazy Learning Algorithms; Jianping Zhang, et al. The Racing Algorithm: Model Selection for Lazy Learners; O. Maron, A.W. Moore. Context-Sensitive Feature Selection for Lazy Learners; P. Domingos. Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms; C.X. Ling, Handong Wang. A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms; D. Wettschereck, et al. Lazy Acquisition of Place Knowledge; P. Langley, et al. A Teaching Strategy for Memory-Based Control; J.W. Sheppard, S.L. Salzberg. Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans; D. Borrajo, M. Veloso. IGTree: Using Trees for Compression and Classification in Lazy Learning Algorithms; W. Daelemans, et al.
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