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» Learning of Boolean Functions Using Support Vector Machines
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COLT
2008
Springer
13 years 9 months ago
Adapting to a Changing Environment: the Brownian Restless Bandits
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
Aleksandrs Slivkins, Eli Upfal
BIOINFORMATICS
2006
129views more  BIOINFORMATICS 2006»
13 years 7 months ago
Predicting methylation status of CpG islands in the human brain
Motivation: Over 50% of human genes contain CpG islands in their 5'-regions. Methylation patterns of CpG islands are involved in tissue-specific gene expression and regulatio...
Fang Fang, Shicai Fan, Xuegong Zhang, Michael Q. Z...
PR
2008
119views more  PR 2008»
13 years 7 months ago
Binary-image comparison with local-dissimilarity quantification
In this paper, we present a method for binary image comparison. For binary images, intensity information is poor and shape extraction is often difficult. Therefore binary images h...
Etienne Baudrier, Frédéric Nicolier,...
DAS
2008
Springer
13 years 9 months ago
New Oversampling Approaches Based on Polynomial Fitting for Imbalanced Data Sets
In classification tasks, class-modular strategy has been widely used. It has outperformed classical strategy for pattern classification task in many applications [1]. However, in ...
Sami Gazzah, Najoua Essoukri Ben Amara
DMIN
2006
122views Data Mining» more  DMIN 2006»
13 years 9 months ago
Cost-Sensitive Analysis in Multiple Time Series Prediction
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
Chamila Walgampaya, Mehmed M. Kantardzic