1139 search results - page 5 / 228 » Boosting strategy for classification |
BMCBI
2006
13 years 7 months ago
2006
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
COLT
2000
Springer
13 years 12 months ago
2000
Springer
Boosting algorithms like AdaBoost and Arc-GV are iterative strategies to minimize a constrained objective function, equivalent to Barrier algorithms. Based on this new understandi...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
STOC
2003
ACM
14 years 7 months ago
2003
ACM
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...