Sciweavers

116 search results - page 2 / 24
» Empirical Bernstein Boosting
Sort
View
BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
13 years 11 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy
ICML
2005
IEEE
14 years 6 months ago
Unifying the error-correcting and output-code AdaBoost within the margin framework
In this paper, we present a new interpretation of AdaBoost.ECC and AdaBoost.OC. We show that AdaBoost.ECC performs stage-wise functional gradient descent on a cost function, defin...
Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu
DAGM
2003
Springer
13 years 10 months ago
Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection
Recently Viola et al. have introduced a rapid object detection scheme based on a boosted cascade of simple feature classifiers. In this paper we introduce and empirically analysis ...
Rainer Lienhart, Alexander Kuranov, Vadim Pisarevs...
ICML
1999
IEEE
14 years 6 months ago
AdaCost: Misclassification Cost-Sensitive Boosting
AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive boosting method. It uses the cost of misclassifications to update the training distribution on successive boo...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip...
EUROGP
2007
Springer
13 years 11 months ago
An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers
Denis Robilliard, Virginie Marion-Poty, Séb...