1707 search results - page 74 / 342 » A Boosting Algorithm for Regression |
110
Voted
ESANN
2006
15 years 4 months ago
2006
We propose an efficient forward regression algorithm based on greedy optimization of marginal likelihood. It can be understood as a forward selection procedure which adds a new bas...
157
click to vote
IIHMSP
2006
IEEE
15 years 8 months ago
2006
IEEE
This paper presents a new behavior classification system for analyzing human movements directly from video sequences. First of all, we propose a triangulation-based method to tran...
145
Voted
PAMI
2012
13 years 5 months ago
2012
—It has been shown that the Universum data, which do not belong to either class of the classification problem of interest, may contain useful prior domain knowledge for training...
116
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
119
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...