We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Abstract. Many-core processor architectures require scalable solutions that reflect the locality and power constraints of future generations of technology. This paper presents a CM...
In the field of guided learning on the Internet we present, in this paper, an interactive tool for designing intelligent tutoring systems on the web. Our tool makes easier the crea...
We present a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The inpu...
All but the most briefly used systems must evolve as their mission and roles change over time. Evolution in the context of large distributed systems is extraordinarily complex bec...