Volume 6,
1991
- Jaime G. Carbonell:
Editorial.
5
- Roberto Gemello, Franco Mana, Lorenza Saitta:
Rigel: An Inductive Learning System.
7-35
- David W. Aha, Dennis F. Kibler, Marc K. Albert:
Instance-Based Learning Algorithms.
37-66
- Igor Kononenko, Ivan Bratko:
Information-Based Evaluation Criterion for Classifier's Performance.
67-80
- Ramon López de Mántaras:
A Distance-Based Attribute Selection Measure for Decision Tree Induction.
81-92
- J. Ross Quinlan:
Improved Estimates for the Accuracy of Small Disjuncts.
93-98
- Yoram Reich:
Exemplar-Based Knowledge Acquisition.
99-103
- Ray Bareiss:
A Reply to Reich's Book Review of Exemplar-Based Knowledge Acquisition.
105-106
- Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell:
Symbolic and Neural Learning Algorithms: An Experimental Comparison.
111-143
- Philip D. Laird, Evan Gamble:
A `PAC' Algorithm for Making Feature Maps.
145-160
- Peter W. Frey, David J. Slate:
Letter Recognition Using Holland-Style Adaptive Classifiers.
161-182
- Alberto Maria Segre, Charles Elkan, Alexander Russell:
A Critical Look at Experimental Evaluations of EBL.
183-195
- Roland Zito-Wolf:
Book Review.
197-204
- Steven Minton:
A Reply to Zito-Wolf's Book Review of Learning Search Control Knowledge: An Explanation-Based Approach.
205-206
- Jyh-Han Lin, Jeffrey Scott Vitter:
Complexity Results on Learning by Neural Nets.
211-230
- Marlon Núñez:
The Use of Background Knowledge in Decision Tree Induction.
231-250
- Steven Salzberg:
A Nearest Hyperrectangle Learning Method.
251-276
- Sakir Kocabas:
Conflict Resolution as Discovery in Particle Physics.
277-309
Copyright © Mon Dec 7 20:19:35 2009
by Michael Ley (ley@uni-trier.de)
