Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
This paper presents preliminary findings from our empirical study of the cognition employed by performers in improvisational theatre. Our study has been conducted in a laboratory ...
Brian Magerko, Waleed Manzoul, Mark Riedl, Allan B...
Althoughthereisalargebodyofresearchonthetimeoverheadofobject oriented programs, there is little work on memory overhead. This paper takes an empirical approach to the study of this...
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
—Current research on code clones tries to address the question whether or not code clones are harmful for the quality of software. As most of these studies are based on the fine...
Nicolas Bettenburg, Weiyi Shang, Walid Ibrahim, Br...