408 search results - page 4 / 82 » Learning Preferences for Multiclass Problems |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
This paper suggests a method for multiclass learning with many classes by simultaneously learning shared characteristics common to the classes, and predictors for the classes in t...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
IEEEMSP
2002
IEEE
14 years 19 days ago
2002
IEEE
Abstract—We present the query-by-description (QBD) component of “Kandem,” a time-aware music retrieval system. The QBD system we describe learns a relation between descriptiv...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...