Relevance


Table of Contents for
Artificial Intelligence Volume 97, Issue 1-2, 18-December-1997

Devika Subramanian, Russell Greiner, Judea Pearl, The Relevance of Relevance (Editorial), Artificial Intelligence (97)1-2 (1997) pp. 1-5

David Galles, Judea Pearl, Axioms of causal relevance, Artificial Intelligence (97)1-2 (1997) pp. 9-43

Adnan Darwiche, A logical notion of conditional independence: properties and applications, Artificial Intelligence (97)1-2 (1997) pp. 45-82

Alon Y. Levy, Richard E. Fikes, Yehoshua Sagiv, Speeding up inferences using relevance reasoning: a formalism and algorithms, Artificial Intelligence (97)1-2 (1997) pp. 83-136

Gerhard Lakemeyer, Relevance from an epistemic perspective, Artificial Intelligence (97)1-2 (1997) pp. 137-167

Roni Khardon, Dan Roth, Defaults and relevance in model-based reasoning, Artificial Intelligence (97)1-2 (1997) pp. 169-193

Eric B. Baum, Warren D. Smith, A Bayesian approach to relevance in game playing, Artificial Intelligence (97)1-2 (1997) pp. 195-242

Avrim L. Blum, Pat Langley, Selection of relevant features and examples in machine learning, Artificial Intelligence (97)1-2 (1997) pp. 245-271

Ron Kohavi, George H. John, Wrappers for feature subset selection, Artificial Intelligence (97)1-2 (1997) pp. 273-324

J. Kivinen, M.K. Warmuth, P. Auer, The Perceptron algorithm versus Winnow: linear versus logarithmic mistake bounds when few input variables are relevant, Artificial Intelligence (97)1-2 (1997) pp. 325-343

Russell Greiner, Adam J. Grove, Alexander Kogan, Knowing what doesn't matter: exploiting the omission of irrelevant data, Artificial Intelligence (97)1-2 (1997) pp. 345-380

Shumeet Baluja, Dean Pomerleau, Dynamic relevance: vision-based focus of attention using artificial neural networks, Artificial Intelligence (97)1-2 (1997) pp. 381-395