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» Adaptive Algorithms for Online Decision Problems
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ICML
2008
IEEE
14 years 8 months ago
Empirical Bernstein stopping
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Csaba Szepesvári, Jean-Yves Audibert, Volod...
CATE
2004
190views Education» more  CATE 2004»
13 years 9 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
IPPS
2007
IEEE
14 years 2 months ago
The Adaptive Code Kitchen: Flexible Tools for Dynamic Application Composition
Driven by the increasing componentization of scientific codes, the deployment of high-end system infrastructures such as the Grid, and the desire to support high level problem so...
Pilsung Kang 0002, Mike Heffner, Joy Mukherjee, Na...
TON
1998
145views more  TON 1998»
13 years 7 months ago
Adaptive wavelength routing in all-optical networks
Abstract—In this paper we consider routing and wavelength assignment in wavelength-routed all-optical networks with circuitswitching. The conventional approaches to address this ...
Ahmed Mokhtar, Murat Azizoglu
ICCS
2003
Springer
14 years 1 months ago
Self-Adapting Numerical Software and Automatic Tuning of Heuristics
Self-Adapting Numerical Software (SANS) systems aim to bridge the knowledge gap that exists between the expertise of domain scientists, and the know-how that is needed to fulfill...
Jack Dongarra, Victor Eijkhout