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» Using and Combining Predictors That Specialize
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BMCBI
2006
122views more  BMCBI 2006»
13 years 7 months ago
A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
Carmen Lai, Marcel J. T. Reinders, Laura J. van't ...
IJON
2006
161views more  IJON 2006»
13 years 7 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
PR
2008
178views more  PR 2008»
13 years 6 months ago
An effective and fast iris recognition system based on a combined multiscale feature extraction technique
The randomness of iris pattern makes it one of the most reliable biometric traits. On the other hand, the complex iris image structure and the various sources of intra-class varia...
Makram Nabti, Ahmed Bouridane
ENVSOFT
2008
175views more  ENVSOFT 2008»
13 years 7 months ago
Automated regression-based statistical downscaling tool
Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both...
Masoud Hessami, Philippe Gachon, Taha B. M. J. Oua...
AMAI
2011
Springer
12 years 7 months ago
Multi-armed bandits with episode context
A multi-armed bandit episode consists of n trials, each allowing selection of one of K arms, resulting in payoff from a distribution over [0, 1] associated with that arm. We assum...
Christopher D. Rosin