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FLAIRS
2008
15 years 5 months ago
Genetic Approach for Optimizing Ensembles of Classifiers
An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of ...
Francisco Javier Ordóñez, Agapito Le...
COLT
2010
Springer
15 years 1 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
JMLR
2012
13 years 5 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
IPPS
2010
IEEE
15 years 1 months ago
Optimizing RAID for long term data archives
We present new methods to extend data reliability of disks in RAID systems for applications like long term data archival. The proposed solutions extend existing algorithms to detec...
Henning Klein, Jörg Keller
ICDE
2007
IEEE
193views Database» more  ICDE 2007»
16 years 4 months ago
Categorization and Optimization of Synchronization Dependencies in Business Processes
requirement. Furthermore, programming using sequence constructs normally produce nested structures and The current approachfor modeling synchronization in scattered code, especiall...
Qinyi Wu, Calton Pu, Akhil Sahai, Roger S. Barga