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ORCIDMachine Learning, Volume 14
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
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