Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
We address the problem of texture mapping implicit surfaces. Recent work in providing 2D mappings for implicit surfaces maps points from a auxiliary parametric surface to the impl...
Abstract: Non-linear state estimation and some related topics, like parametric estimation, fault diagnosis, and perturbation attenuation, are tackled here via a new methodology in ...
The theory of nominal sets is a theory for names, freshness and binders. It has recently been suggested as a framework for modelling local store because it allows for a more eleme...