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Machine Learning, Volume 8

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Volume 8, 1992

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Francesco Bergadano:
Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System. 5-43
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E. M. Oblow:
Implementing Valiant's Learnability Theory Using Random Sets. 45-73
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Wray L. Buntine, Tim Niblett:
A Further Comparison of Splitting Rules for Decision-Tree Induction. 75-85
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Usama M. Fayyad, Keki B. Irani:
On the Handling of Continuous-Valued Attributes in Decision Tree Generation. 87-102
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Thomas G. Dietterich:
Editorial. 105
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Luc De Raedt, Maurice Bruynooghe:
Interactive Concept-Learning and Constructive Induction by Analogy. 107-150
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  - journals/ml/Tzeng92
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Wen-Guey Tzeng:
Learning Probabilistic Automata and Markov Chains via Queries. 151-166
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William W. Cohen:
Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem. 167-219
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Ronald J. Williams:
Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning. 229-256
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Gerald Tesauro:
Practical Issues in Temporal Difference Learning. 257-277
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Christopher J. C. H. Watkins, Peter Dayan:
Technical Note Q-Learning. 279-292
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Long Ji Lin:
Self-Improving Reactive Agents Based On Reinforcement Learning, Planning and Teaching. 293-321
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Satinder Pal Singh:
Transfer of Learning by Composing Solutions of Elemental Sequential Tasks. 323-339
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Peter Dayan:
The Convergence of TD(lambda) for General lambda. 341-362
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José del R. Millán, Carme Torras:
A Reinforcement Connectionist Approach to Robot Path Finding in Non-Maze-Like Environments. 363-395
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