159 search results - page 1 / 32 » Margin Maximizing Loss Functions |
NIPS
2003
13 years 6 months ago
2003
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...