1860 search results - page 70 / 372 » Boosting Methods for Regression |
MCS
2000
Springer
14 years 1 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
AMFG
2005
IEEE
14 years 3 months ago
2005
IEEE
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed an...
IDA
2002
Springer
13 years 9 months ago
2002
Springer
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
AIME
1997
Springer
14 years 2 months ago
1997
Springer
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
ACMACE
2006
ACM
14 years 3 months ago
2006
ACM
Automatic facial feature location is an important step in humancomputer interaction and automatic face recognition. In this paper, a new eye location method is proposed. A classif...