Machine Learning, Volume 17

Volume 17, Number 1, 1994

• Haym Hirsh:
  Generalizing Version Spaces. 5-46
  
• Raúl E. Valdés-Pérez:
  Algebraic Reasoning about Reactions: Discovery of Conserved Properties in Particle Physics. 47-67
  
• Sridhar Mahadevan, Prasad Tadepalli:
  Quantifying Prior Determination Knowledge Using the PAC Learning Model. 69-105
  

Volume 17, Numbers 2-3, 1994

• Lisa Hellerstein:
  Guest Editor's Introduction. 111-114
  
• Michael J. Kearns, Robert E. Schapire, Linda Sellie:
  Toward Efficient Agnostic Learning. 115-141
  
• Jyh-Han Lin, Jeffrey Scott Vitter:
  A Theory for Memory-Based Learning. 143-167
  
• William W. Cohen, Haym Hirsh:
  The Learnability of Description Logics with Equality Constraints. 169-199
  
• Zhixiang Chen, Wolfgang Maass:
  On-Line Learning of Rectangles and Unions of Rectangles. 201-223
  

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