10 search results - page 1 / 2 » Multi Kernel Learning with Online-Batch Optimization |
JMLR
2012
11 years 7 months ago
2012
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
COLT
2008
Springer
13 years 6 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
ICML
2010
IEEE
13 years 6 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...
PRIB
2009
Springer
13 years 11 months ago
2009
Springer
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...