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74
Voted
CLUSTER
2006
IEEE
15 years 4 months ago
2006
IEEE
Computational grids have not scaled effectively due to administrative hurdles to resource and user participation. Most production grids are essentially multi-site supercomputer ce...
EUROCAST
2007
Springer
15 years 4 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
104
Voted
PROFES
2004
Springer
15 years 3 months ago
2004
Springer
In this paper a new Experimental and Explorative Research (EER) research strategy is proposed. It combines experimental software engineering with exploratory research of new techno...
NIPS
2004
14 years 11 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
RTAS
1996
IEEE
15 years 2 months ago
1996
IEEE
The proliferation of mobile computers and wireless networks requires the design of future distributed real-time applications to recognize and deal with the signi cant asymmetry be...