Artificial Intelligence, Volume 97

Volume 97, Numbers 1-2, December 1997

• Devika Subramanian, Russell Greiner, Judea Pearl:
  The Relevance of Relevance (Editorial). 1-5
  
• David Galles, Judea Pearl:
  Axioms of Causal Relevance. 9-43
  
• Adnan Darwiche:
  A Logical Notion of Conditional Independence: Properties and Application. 45-82
  
• Alon Y. Levy, Richard Fikes, Yehoshua Sagiv:
  Speeding up Inferences Using Relevance Reasoning: A Formalism and Algorithms. 83-136
  
• Gerhard Lakemeyer:
  Relevance from an Epistemic Perspective. 137-167
  
• Roni Khardon, Dan Roth:
  Defaults and Relevance in Model-Based Reasoning. 169-193
  
• Eric B. Baum, Warren D. Smith:
  A Bayesian Approach to Relevance in Game Playing. 195-242
  
• Avrim Blum, Pat Langley:
  Selection of Relevant Features and Examples in Machine Learning. 245-271
  
• Ron Kohavi, George H. John:
  Wrappers for Feature Subset Selection. 273-324
  
• Jyrki Kivinen, Manfred K. Warmuth, Peter Auer:
  The Perceptron Algorithm Versus Winnow: Linear Versus Logarithmic Mistake Bounds when Few Input Variables are Relevant (Technical Note). 325-343
  
• Russell Greiner, Adam J. Grove, Alexander Kogan:
  Knowing what doesn't Matter: Exploiting the Omission of Irrelevant Data. 345-380
  
• Shumeet Baluja, Dean Pomerleau:
  Dynamic Relevance: Vision-Based Focus of Attention Using Artificial Neural Networks. (Technical Note). 381-395