147 search results - page 13 / 30 » Agnostic Learning with Ensembles of Classifiers |
CIDM
2009
IEEE
14 years 3 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
MLDM
1999
Springer
14 years 21 days ago
1999
Springer
In the field of pattern recognition, multiple classifier systems based on the combination of the outputs of a set of different classifiers have been proposed as a method for the de...
ESWA
2008
13 years 8 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 ...
CIKM
2009
Springer
14 years 11 days ago
2009
Springer
The standard method for combating spam, either in email or on the web, is to train a classifier on manually labeled instances. As the spammers change their tactics, the performanc...