In this paper we have defined a novel activation function called the multi-level signum for the real and complex valued associative memories. The major motivation of such a functio...
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
GRADD is a group decision support systems targeted at asynchronous and distributed meetings. The distinctive features of GRADD are the combination of a rationalemodel for discussi...
Abstract. We present local conditions for input-output stability of recurrent neural networks with time-varying parameters introduced for instance by noise or on-line adaptation. T...
- We proposed the cost effective (in sense of gate number) asynchronous two-level logic. It is based on AND-OR implementation of minimized logic functions. We formulated and proved...