This paper describes an ecient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn ...
A method is presented for segmentation of anatomical structures that incorporates prior information about shape. The method iteratively applies steps which find object’s border ...
Abstract. Textual Entailment has recently been proposed as an application independent task of recognising whether the meaning of one text may be inferred from another. This is pote...
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
A new learning algorithmis derived which performs online stochastic gradient ascent in the mutual informationbetween outputs and inputs of a network. In the absence of a priori kn...