This paper presents results from a number of experiments within the area of competitive co-evolutionary robotics. The focus in these experiments has been on ‘co-evolving’ parts...
Often efforts to change techniques or processes are met by "But its working, why change now?" Usually the impetous for change comes from someone who does not believe it ...
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...