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Learning by Augmenting Rules and Accumulating Censors
(1982-05-01)
This paper is a synthesis of several sets of ideas: ideas about learning from precedents and exercises, ideas about learning using near misses, ideas about generalizing if-then rules, and ideas about using censors to ...
Sufficient Conditions for Uniform Stability of Regularization Algorithms
(2009-12-01)
In this paper, we study the stability and generalization properties of penalized empirical-risk minimization algorithms. We propose a set of properties of the penalty term that is sufficient to ensure uniform ?-stability: ...