As the enabling technologies of autonomic computing continue to advance, it is imperative for researchers to exchange the details of their proposed techniques for designing, devel...
Tariq M. King, Alain E. Ramirez, Peter J. Clarke, ...
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
The Service Oriented Architecture enables the development of flexible large scale-applications in open environments by dynamically combining Web services. Nevertheless, current te...
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...