Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
In this paper we present simulation algorithmsthat characterize the main sources of communication generated by parallel applications under both invalidate and updatebased cache co...
This paper proposes an optimization algorithm for reducing the power dissipation in a sequential circuit. The encoding of the different states in a Finite State Machine is modifie...
S. Chuisano, Fulvio Corno, Paolo Prinetto, Maurizi...
The traditional algorithm of Stockmeyer for area minimization of slicing
oorplans has time (and space) complexity O(n2 ) in the worst case, or O(nlogn) for balanced slicing. For ...
We present a fast and scalable matrix multiplication algorithm on distributed memory concurrent computers, whose performance is independent of data distribution on processors, and...