In this paper we present a new approach to incremental user recognition in fuzzy environments where user classification is updated within an epistemological model. We extend Einho...
Jonathan Rossiter, Tru H. Cao, Trevor P. Martin, J...
In this paper we introduce a new sparseness inducing prior which does not involve any (hyper)parameters that need to be adjusted or estimated. Although other applications are poss...
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
In this paper we describe a model of social and collaborative search based on the use of tags. First we will introduce the issues that drove us to the definition of this model, an...
Most local convergence analyses of the sequential quadratic programming (SQP) algorithm for nonlinear programming make strong assumptions about the solution, namely, that the activ...