When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Abstract— For solving multimodal problems by means of evolutionary algorithms, one often resorts to multistarts or niching methods. The latter approach the question: ‘What is e...
Abstract. It is a very important issue to quickly retrieve semantic information from a vast multimedia database. In this paper, we propose a statistic-based algorithm to retrieve t...
Abstract. We give a high-level description of some fundamental randomized and deterministic techniques for routing and sorting on xedconnection networks such as meshes, hypercubes ...
Distributed groupware systems consist of a group of users manipulating a shared object (like a text document, a filesystem, etc). Operational Transformation (OT) algorithms are app...