We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
The purpose of this work is to develop a pattern recognition system simulating the human vision. A transparent neural network, with context returns is used. The context returns co...
A directed agent implies an agent with high constraints in both recognition and motion. Because of the embodied restrictions, the directed agent perceives a sense of subjective di...
This paper presents an efficient method for optimizing the design of power/ground (P/G) networks by using locally regular, globally irregular grids. The procedure divides the pow...
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...