Machine Learning, Volume 19, 1995

Volume 19, Number 1, 1995

• Dietrich Wettschereck, Thomas G. Dietterich:
  An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms. 5-27
  
• Arie Ben-David:
  Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms. 29-43
  
• Carla E. Brodley, Paul E. Utgoff:
  Multivariate Decision Trees. 45-77
  
• Raymond J. Mooney:
  Encouraging Experimental Results on Learning CNF. 79-92
  

Volume 19, Number 2, 1995

• Bradley L. Richards, Raymond J. Mooney:
  Automated Refinement of First-Order Horn-Clause Domain Theories. 95-131
  
• Patrick Suppes, Michael Böttner, Lin Liang:
  Comprehension Grammars Generated from Machine Learning of Natural Languages. 133-152
  
• Takashi Yokomori:
  On Polynomial-Time Learnability in the Limit of Strictly Deterministic Automata. 153-179
  

Volume 19, Number 3, 1995

• Howard Aizenstein, Leonard Pitt:
  On The Learnability Of Disjunctive Normal Form Formulas. 183-208
  
• Marco Dorigo:
  Alecsys and the AutonoMouse: Learning to Control a Real Robot by Distributed Classifier Systems. 209-240
  
• Ronny Meir, Neri Merhav:
  On the Stochastic Complexity of Learning Realizable and Unrealizable Rules. 241-261
  

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