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Boosting (machine learning)

Known as: Boost, Boosting (meta-algorithm), Boosting methods for object categorization 
Boosting is a machine learning ensemble meta-algorithm for primarily reducing bias, and also variance in supervised learning, and a family of machine… 
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Papers overview

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2013
2013
Robust bio-cryptographic schemes employ encoding methods where a short message is extracted from biometric samples to encode… 
Review
2013
Review
2013
Diabetes mellitus is a leading cause of morbidity and mortality worldwide, with an estimated 346 million adults being affected in… 
2008
2008
. Boosting is a general method for improving the accuracy of a given learning algorithm under certain restrictions. In this work… 
2006
2006
Ensemble learning technique attracted much attention in the past few years. Instead of using a single prediction model, this… 
2004
2004
In this paper, we describe the experiments that we have carried out during the European Research Project NetProtect II that aims… 
2004
2004
A sustainable and secure society is one that meets its water needs without destroying the ecosystems upon which it depends or the… 
2003
2003
The UPFC can provide simultaneous control of all basic power system parameters ( transmission voltage, impedance and phase angle… 
2001
2001
Bagging and boosting are two general techniques for building predictors based on small samples from a dataset. We show that… 
1995
1995
Boosting productivity is a goal shared by managers everywhere, but the path to increased productivity is not always clear. A…