Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linear p...
—The problem of automatically generating hardware modules from a high level representation of an application has been at the research forefront in the last few years. In this pap...
In this paper we discuss rate control for multiuser multicarrier systems, where the transmitter has a single antenna and is subject to a PSD mask limitation while the receiver has...
We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...