Several factors affecting the automatic classification of musical audio signals are examined. Classification is performed on short audio frames and results are reported as “ba...
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
The increasing complexity of modern Information Services (IS) makes necessary to carry on review activities. For many companies, these reviews take place within the framework of t...
Jacques Simonin, Yves Le Traon, Jean-Marc Jé...
This paper introduces the design of SymGrid, a new Grid framework that will, for the first time, allow multiple invocations of symbolic computing applications to interact via the ...
Kevin Hammond, Abdallah Al Zain, Gene Cooperman, D...