408 search results - page 9 / 82 » Learning Preferences for Multiclass Problems |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Even though several techniques have been proposed in the literature for achieving multiclass classification using Support Vector Machine(SVM), the scalability aspect of these appr...
IDEAL
2003
Springer
14 years 27 days ago
2003
Springer
The error-correcting output coding (ECOC) method reduces the multiclass learning problem into a series of binary classifiers. In this paper, we consider the dense ECOC methods, co...
EMNLP
2009
13 years 5 months ago
2009
The recently introduced online confidence-weighted (CW) learning algorithm for binary classification performs well on many binary NLP tasks. However, for multi-class problems CW l...
JMLR
2008
13 years 7 months ago
2008
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...