Relevant Examples and Relevant Features: Thoughts from Computational Learning Theory
Avrim L. Blum · 1994
It can be said that nearly all results in machine learning, whether experimental or theoretical, deal with problems of separating relevant from irrelevant information in some way. In this paper I will attempt to