Machine Learning, Volume 8

Volume 8, 1992

• Francesco Bergadano: Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System. 5-43 BibTeX
• E. M. Oblow: Implementing Valiant's Learnability Theory Using Random Sets. 45-73 BibTeX
• Wray L. Buntine, Tim Niblett: A Further Comparison of Splitting Rules for Decision-Tree Induction. 75-85 BibTeX
• Usama M. Fayyad, Keki B. Irani: On the Handling of Continuous-Valued Attributes in Decision Tree Generation. 87-102 BibTeX
• Thomas G. Dietterich: Editorial. 105 BibTeX
• Luc De Raedt, Maurice Bruynooghe: Interactive Concept-Learning and Constructive Induction by Analogy. 107-150 BibTeX
• Wen-Guey Tzeng: Learning Probabilistic Automata and Markov Chains via Queries. 151-166 BibTeX
• William W. Cohen: Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem. 167-219 BibTeX
• Ronald J. Williams: Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning. 229-256 BibTeX
• Gerald Tesauro: Practical Issues in Temporal Difference Learning. 257-277 BibTeX
• Christopher J. C. H. Watkins, Peter Dayan: Technical Note Q-Learning. 279-292 BibTeX
• Long Ji Lin: Self-Improving Reactive Agents Based On Reinforcement Learning, Planning and Teaching. 293-321 BibTeX
• Satinder P. Singh: Transfer of Learning by Composing Solutions of Elemental Sequential Tasks. 323-339 BibTeX
• Peter Dayan: The Convergence of TD(lambda) for General lambda. 341-362 BibTeX
• José del R. Millán, Carme Torras: A Reinforcement Connectionist Approach to Robot Path Finding in Non-Maze-Like Environments. 363-395 BibTeX