466 search results - page 44 / 94 » Feature subset selection bias for classification learning |
LCN
2005
IEEE
15 years 3 months ago
2005
IEEE
The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engi...
AUSAI
2009
Springer
15 years 1 months ago
2009
Springer
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
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ESANN
2006
14 years 11 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
ESWA
2008
14 years 9 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
PAMI
2006
14 years 9 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...