This paper analyzes implementable social choice functions (in dominant strategies) over restricted domains of preferences, the leading example being combinatorial auctions. Our wo...
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
—We present a distributed algorithm for allocating power among multiple interfering transmitters in a wireless network using Orthogonal Frequency Division Multiplexing (OFDM). Th...
A novel training method has been proposed for increasing efficiency and generalization of support vector machine (SVM). The efficiency of SVM in classification is directly determi...
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...