In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artific...
Integrating virtual human's animation in networked virtual environments (NVEs) has the potential to create severe network load issues. In NVEs, users are represented by their...
Tolga K. Capin, Maja Jovovic, Joaquim Esmerado, Am...
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
We propose a new class of game-theoretic models for network formation in which strategies are not directly related to edge choices, but instead correspond more generally to the ex...
Christian Borgs, Jennifer T. Chayes, Jian Ding, Br...
Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks. However, a major disadvantage of the technique is th...
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita...