1860 search results - page 8 / 372 » Boosting Methods for Regression |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
TNN
2010
13 years 2 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
COLT
2000
Springer
13 years 11 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...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
ISBI
2011
IEEE
12 years 11 months ago
2011
IEEE
We develop a new algorithm to segment the hippocampus from MR images. Our method uses a new classifier ensemble algorithm to correct segmentation errors produced by a multi-atlas...