We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
Robert Burbidge, Matthew W. B. Trotter, Bernard F....
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
We present a series of approximation algorithms for finding a small weakly-connected dominating set (WCDS) in a given graph to be used in clustering mobile ad hoc networks. The st...
In contrast to classical databases and IR systems, real-world information systems have to deal increasingly with very vague and diverse structures for information management and s...
Xuan Zhou, Julien Gaugaz, Wolf-Tilo Balke, Wolfgan...
Internet-based information technologies have considerable potential for improving collaboration in professional communities. In this paper, we explain the concept of user-driven sp...