Component-oriented development of software supports the adaptability and maintainability of large systems, in particular if requirements change over time and parts of a system hav...
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times very large models perform well. We give simple examples of both kinds of behaviour...
In this paper we address the issue of dependable distributed high performance computing in the field of Symbolic Computation. We describe the extension of a middleware infrastructu...
This paper shows that the minimum ratio canceling algorithm of Wallacher (1989) (and a faster relaxed version) can be generalized to an algorithm for general linear programs with ...