Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
Abstract. The strategic supply chain design problem which allows capacity shifts and budget limitations can be formulated as a linear program. Since facilities are allowed to be op...
We present optimal solutions to the test scheduling problem for core-based systems. We show that test scheduling is equivalent to the m-processor open-shop scheduling problem and ...
We propose a new class of stochastic integer programs whose special features are dominance constraints induced by mixed-integer linear recourse. For these models, we establish clo...
A number of logic programming languages based on Linear Logic [3] have been proposed. However, the implementation techniques proposed for these languages have relied heavily on th...
Joshua S. Hodas, K. M. Watkins, Naoyuki Tamura, Ky...