We present an efficient generalization of the sparse pseudo-input Gaussian process (SPGP) model developed by Snelson and Ghahramani [1], applying it to binary classification pro...
: The standard prediction error framework provides many theoretical results under the assumption that the true system is in the model class. An important example is the expression ...
Sippe G. Douma, Xavier Bombois, Paul M. J. Van den...
The goal of this work is to study the asymptotic and finite sample properties of an estimator of a nonlinear regression function when errors are spatially correlated, and when the...
Abstract. The recently introduced family of natural evolution strategies (NES), a novel stochastic descent method employing the natural gradient, is providing a more principled alt...
The paper describes a novice method for sampling geochemicals to characterize mine tailings. We model the spatial relationships between a multi-element signature and, as covariate...
Pravesh Debba, Emmanuel John M. Carranza, Alfred S...