Machine Learning, Volume 8

Volume 8, 1992

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