Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
Abstract. Recently, development of peer-to-peer (P2P) applications has been giving a paramount attention mostly due to their attractive features such as decentralization and self-o...
Abstract. Optimization problems constrained by nonlinear partial differential equations have been the focus of intense research in scientific computing lately. Current methods for...
Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan ...
We present an approach to the automatic derivation of executable Process Network specifications from Weakly Dynamic Applications. We introduce the notions of Dynamic Single Assig...
In an embedded system, the cost of storing a program onchip can be as high as the cost of a microprocessor. Compressing an application’s code to reduce the amount of memory requ...
Jeremy Lau, Stefan Schoenmackers, Timothy Sherwood...