77 search results - page 2 / 16 » Efficient bandit algorithms for online multiclass prediction |
KDD
2008
ACM
14 years 6 months ago
2008
ACM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
SDM
2008
SIAM
13 years 7 months ago
2008
SIAM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
COLT
2001
Springer
13 years 11 months ago
2001
Springer
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...