We consider the problem of improving the Gaussian approximate posterior marginals computed by expectation propagation and the Laplace method in latent Gaussian models and propose ...
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Abstract. In Computational Neuroscience, mathematical and computational modeling are differentiated. In this paper, both kinds of modeling are considered. In particular, modeling ...
Home computer systems are frequently insecure because they are administered by untrained, unskilled users. The rise of botnets has amplified this problem; attackers can compromis...
In this paper, we formulate the stereo matching problem as a Markov network consisting of three coupled Markov random fields (MRF's). These three MRF's model a smooth fie...