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MCS
2002
Springer
13 years 4 months ago
Boosting and Classification of Electronic Nose Data
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
Francesco Masulli, Matteo Pardo, Giorgio Sbervegli...
CEAS
2007
Springer
13 years 10 months ago
Asymmetric Gradient Boosting with Application to Spam Filtering
In this paper, we propose a new asymmetric boosting method, Boosting with Different Costs. Traditional boosting methods assume the same cost for misclassified instances from di...
Jingrui He, Bo Thiesson