We present a new approach to test selection in sequential diagnosis (or classification) in the independence Bayesian framework that resembles the hypothetico-deductive approach to ...
We investigate some approaches to solving nonconvex global optimization problems by convex nonlinear programming methods. We assume that the problem becomes convex when selected va...
This paper introduces the wave model, a novel approach on analyzing the behavior of GAs. Our aim is to give techniques that have practical relevance and provide tools for improvin...
Role-limiting approaches using explicit theories of problem-solving have been successful for acquiring knowledge from domain experts1 . However most systems using this approach do...
Abstract. We propose a convex optimization approach to solving the nonparametric regression estimation problem when the underlying regression function is Lipschitz continuous. This...
Dimitris Bertsimas, David Gamarnik, John N. Tsitsi...