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ICANN
2010
Springer
13 years 8 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
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...
Asja Fischer, Christian Igel
CANDC
2009
ACM
14 years 2 months ago
An empirical study of cognition and theatrical improvisation
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...
ECOOP
2000
Springer
13 years 11 months ago
Empirical Study of Object-Layout Strategies and Optimization Techniques
Althoughthereisalargebodyofresearchonthetimeoverheadofobject oriented programs, there is little work on memory overhead. This paper takes an empirical approach to the study of this...
Natalie Eckel, Joseph Gil
EMMCVPR
2005
Springer
14 years 1 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
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...
Sanjiv Kumar, Jonas August, Martial Hebert
WCRE
2009
IEEE
14 years 2 months ago
An Empirical Study on Inconsistent Changes to Code Clones at Release Level
—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...