1860 search results - page 38 / 372 » Boosting Methods for Regression |
DEXAW
2010
IEEE
13 years 10 months ago
2010
IEEE
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
IJCAI
2003
13 years 11 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
EJASMP
2011
13 years 1 months ago
2011
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the pho...
CVPR
2009
IEEE
14 years 1 months ago
2009
IEEE
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...