334 search results - page 1 / 67 » Boosting with structural sparsity |
ICML
2009
IEEE
15 years 11 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...
CVPR
2012
IEEE
13 years 21 days ago
2012
IEEE
95
Voted
TSP
2008
14 years 10 months ago
2008
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
112
Voted
EMNLP
2011
13 years 10 months ago
2011
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...