170 search results - page 8 / 34 » An Effective Combination of Multiple Classifiers for Toxicit... |
BMCBI
2006
14 years 11 months ago
2006
Background: More and more disordered regions have been discovered in protein sequences, and many of them are found to be functionally significant. Previous studies reveal that dis...
GECCO
2004
Springer
15 years 5 months ago
2004
Springer
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
106
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ICDAR
2003
IEEE
15 years 5 months ago
2003
IEEE
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
147
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MICAI
2010
Springer
14 years 9 months ago
2010
Springer
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
IJCAI
2003
15 years 1 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...