In this paper, we discuss the possibility of achieving onchip fault-tolerant communication based on a new communication paradigm called stochastic communication. Specifically, for...
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
A novel approach to testing sequential circuits that uses multi-level decision diagram representations is introduced. The proposed algorithm consists of a combination of scanning ...