Machine Learning, Volume 26, 1997

Volume 26, Number 1, January 1997

• Avrim Blum:
  Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain. 5-23
  
• Nader H. Bshouty:
  Exact Learning of Formulas in Parallel. 25-41
  
• Enrique F. Castillo, Ali S. Hadi, Cristina Solares:
  Learning and Updating of Uncertainty in Dirichlet Models. 43-63
  
• Yang Xiang, S. K. Michael Wong, Nick Cercone:
  A "Microscopic" Study of Minimum Entropy Search in Learning Decomposable Markov Networks. 65-92
  

Volume 26, Numbers 2-3, February 1997

• Stephen Muggleton, David Page:
  Guest Editors' Introduction. 97-98
  
• Luc De Raedt, Luc Dehaspe:
  Clausal Discovery. 99-146
  
• Aram Karalic, Ivan Bratko:
  First Order Regression. 147-176
  
• David T. Hau, Enrico W. Coiera:
  Learning Qualitative Models of Dynamic Systems. 177-211
  
• Peter Idestam-Almquist:
  Generalization of Clauses Relative to a Theory. 213-226
  
• Eduardo F. Morales:
  PAL: A Pattern-Based First-Order Inductive System. 227-252
  

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