Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
The problem of information overload has been addressed by several systems. However, many approaches are limited to informal artifacts and need to refer to the user for reference o...
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
We present a novel message passing algorithm for approximating the MAP problem in graphical models. The algorithm is similar in structure to max-product but unlike max-product it ...
This paper describes a collaboration among computer scientists, dancers, and musicians on a production entitled "Fibonacci and Phi." Thematically, the production explore...