AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive boosting method. It uses the cost of misclassifications to update the training distribution on successive boo...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip...
This paper addresses the problem of minimizing the expected cost of locating a number of single product facilities and allocating uncertain customer demand to these facilities. Th...
Abstract. In this paper, we propose a novel heuristic algorithm for constructing a minimum cost multicast tree. Our work is based on a directed asymmetric network and shows an impr...
We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...
Abstract. We extend the refinement calculus to permit the derivation of programs in the Bulk Synchronous Parallelism (BSP) style. This demonstrates that formal approaches developed...