We propose a simulation-based method for calculating maximum likelihood estimators in latent variable models. The proposed method integrates a recently developed sampling strategy...
In many occasions, the text describing an algorithmic task may entail a rather intuitive, operational solution scheme. Yet, such a scheme may not necessarily be efficient or correc...
In this work, the problem of the estimation of parameters in case of mixtures of models composed by the sum of multiple Gaussians is considered. It will be shown how this estimati...
We present a fast non-iterative method for approximating the leading eigenvector so as to render graph-spectral based grouping algorithms more efficient. The approximation is base...
Antonio Robles-Kelly, Sudeep Sarkar, Edwin R. Hanc...
General Game Playing is the problem of designing an agent capable of playing any previously unknown game when given only the rules. This paper describes the implementation archite...