Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
The Gauss map projects surface normals to a unit sphere, providing a powerful visualization of the geometry of a graphical object. It can be used to predict visual events caused b...
Bradley C. Lowekamp, Penny Rheingans, Terry S. Yoo
Recently a class of multiscale stochastic models has been introducedin which Gaussian random processes are described by scale-recursive dynamics that are indexed by the nodes of a...
Paul W. Fieguth, William W. Irving, Alan S. Willsk...
In this paper we present how to estimate a continuous space Language Model with a Neural Network to be used in a Statistical Machine Translation system. We report results for an I...