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ORCIDMachine Learning, Volume 38, 2000
Volume 38, Numbers 1-2, January 2000
- Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta:
Guest Editors' Introduction. 5-7 - Ryszard S. Michalski:
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning. 9-40 - Michèle Sebag, Céline Rouveirol:
Any-time Relational Reasoning: Resource-bounded Induction and Deduction Through Stochastic Matching. 41-62 - Evelina Lamma, Fabrizio Riguzzi
, Luís Moniz Pereira:
Strategies in Combined Learning via Logic Programs. 63-87 - Brendan Davis Burns, Andrea Pohoreckyj Danyluk:
Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-based Neural Networks. 89-107 - Marco Botta, Roberto Piola:
Refining Numerical Constants in First Order Logic Theories. 109-131 - Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli:
Multistrategy Theory Revision: Induction and Abduction in INTHELEX. 133-156 - Raymund Sison, Masayuki Numao, Masamichi Shimura:
Multistrategy Discovery and Detection of Novice Programmer Errors. 157-180 - Filippo Neri:
Multi Level Knowledge in Modeling Qualitative Physics Learning. 181-211 - William H. Hsu, Sylvian R. Ray, David C. Wilkins:
A Multistrategy Approach to Classifier Learning from Time Series. 213-236
Volume 38, Number 3, March 2000
- Llew Mason, Peter L. Bartlett, Jonathan Baxter:
Improved Generalization Through Explicit Optimization of Margins. 243-255 - D. Randall Wilson, Tony R. Martinez:
Reduction Techniques for Instance-Based Learning Algorithms. 257-286 - Satinder Singh, Tommi S. Jaakkola, Michael L. Littman, Csaba Szepesvári:
Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms. 287-308 - David D. Jensen, Paul R. Cohen:
Multiple Comparisons in Induction Algorithms. 309-338
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