The performance of sparsely-connected associative memory models built from a set of perceptrons is investigated using different patterns of connectivity. Architectures based on Gau...
Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...
Grid applications are special cases of networking applications. In order to investigate potential applications of Grid technologies to e-learning we discuss in the following some ...
In this paper, we explore services and capabilities that can be enabled by the localization of various "assets" in a data center or IT environment. We also describe the u...
Given a graph where increasing the weight of an edge has a nondecreasing convex piecewise linear cost, we study the problem of finding a minimum cost increase of the weights so tha...