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