Volume 14,
Number 1,
1994
- Dana Angluin, Donna K. Slonim:
Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle.
7-26
- David P. Helmbold, Philip M. Long:
Tracking Drifting Concepts By Minimizing Disagreements.
27-45
- Robert E. Schapire:
Learning Probabilistic Read-once Formulas on Product Distributions.
47-81
- David Haussler, Michael J. Kearns, Robert E. Schapire:
Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension.
83-113
- Andrew R. Barron:
Approximation and Estimation Bounds for Artificial Neural Networks.
115-133
- Katharina Morik, Francesco Bergadano, Wray L. Buntine:
Guest Editorial.
137-138
- Janusz Wnek, Ryszard S. Michalski:
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments.
139-168
- Stefan Wrobel:
Concept Formation During Interactive Theory Revision.
169-191
- Jörg-Uwe Kietz, Katharina Morik:
A Polynomial Approach to the Constructive Induction of Structural Knowledge.
193-217
- Céline Rouveirol:
Flattening and Saturation: Two Representation Changes for Generalization.
219-232
- Jean-Francois Puget:
Explicit Representation of Concept Negation.
233-247
- Wolfgang Maass, György Turán:
Algorithms and Lower Bounds for On-Line Learning of Geometrical Concepts.
251-269
- Sally A. Goldman, Robert H. Sloan:
The Power of Self-Directed Learning.
271-294
- Peter Dayan, Terrence J. Sejnowski:
TD(lambda) Converges with Probability 1.
295-301
- Derek H. Sleeman:
Introduction to the Abstracts of the Invited Talks Presented at ML92 Conference in Aberdeen, 1-3 July 1992.
303
- Ivan Bratko:
Machine Learning and Qualitative Reasoning.
305-312
- David Klahr:
Children, Adults, and Machines as Discovery Systems.
313-320
- Jude W. Shavlik:
Combining Symbolic and Neural Learning.
321-331
- Oren Etzioni, Ruth Etzioni:
Statistical Methods for Analyzing Speedup Learning Experiments.
333-347
Copyright © Wed Nov 11 05:28:54 2009
by Michael Ley (ley@uni-trier.de)
