It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Polynomial time complexity is the usual ‘threshold’ for distinguishing the tractable from the intractable and it may seem reasonable to adopt this notion of tractability in th...
Abstract. In this paper, we show how model-checking can be generalized to temporal logic constraint solving, by considering temporal logic formulae with free variables over some do...
Abstract. Currently there are many service providers on the Web. Industry recognizes that from Web services many different business applications can be quickly created. A Web servi...