486 search results - page 18 / 98 » Boosting and Hard-Core Sets |
121
Voted
ICMLA
2010
14 years 10 months ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
107
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ICCV
2005
IEEE
15 years 6 months ago
2005
IEEE
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
107
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COLT
2001
Springer
15 years 4 months ago
2001
Springer
We describe a new boosting algorithm which generates only smooth distributions which do not assign too much weight to any single example. We show that this new boosting algorithm ...
106
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HIS
2004
15 years 1 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
114
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KDD
2010
ACM
15 years 4 months ago
2010
ACM
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...