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ICML
2009
IEEE
15 years 10 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 1 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...
ETS
2002
IEEE
92views Hardware» more  ETS 2002»
14 years 9 months ago
Technological and Pedagogical Convergence between Work-based and Campus-based Learning
There is a strong technological and economic push for higher education providers to adopt online learning strategies. This is driven, in part, by the requirement of industry for l...
David F. Radcliffe
ICCHP
2004
Springer
15 years 3 months ago
Developing an e-Learning Platform for the Greek Sign Language
In this paper we introduce the characteristics of the educational platform that is being developed within the SYNENNOESE project. The platform integrates avatar and animation techn...
Eleni Efthimiou, G. Sapountzaki, Kostas Karpouzis,...
SEMWEB
2004
Springer
15 years 3 months ago
METEOR-S Web Service Annotation Framework with Machine Learning Classification
Researchers have recognized the need for more expressive descriptions of Web services. Most approaches have suggested using ontologies to either describe the Web services or to an...
Nicole Oldham, Christopher Thomas, Amit P. Sheth, ...