17 search results - page 1 / 4 » A smoothed boosting algorithm using probabilistic output cod... |
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
ML
2007
ACM
13 years 4 months ago
2007
ACM
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
UAI
2008
13 years 6 months ago
2008
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
COLT
1998
Springer
13 years 8 months ago
1998
Springer
Abstract. We describe several improvements to Freund and Schapire's AdaBoost boosting algorithm, particularly in a setting in which hypotheses may assign confidences to each o...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we address the problem of extending a relational database system to facilitate efficient real-time application of dynamic probabilistic models to streaming data. he ...