1419 search results - page 113 / 284 » Approximation Methods for Supervised Learning |
95
Voted
ESA
2010
Springer
15 years 1 months ago
2010
Springer
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
118
Voted
CIKM
2011
Springer
14 years 15 days ago
2011
Springer
We consider the problem of link prediction in signed networks. Such networks arise on the web in a variety of ways when users can implicitly or explicitly tag their relationship w...
101
Voted
KDD
2007
ACM
16 years 29 days ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
NIPS
2008
15 years 2 months ago
2008
In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from th...