1062 search results - page 100 / 213 » Sublinear Optimization for Machine Learning |
COLT
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. We consider the design of online master algorithms for combining the predictions from a set of experts where the absolute loss of the master is to be close to the absolut...
EDUTAINMENT
2006
Springer
14 years 1 months ago
2006
Springer
In this paper, we formulate the image matting as one of solving energy minimization problems. Our approach has the following advantages. First, the matte estimation is modeled usin...
NIPS
2007
13 years 11 months ago
2007
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...
ML
2010
ACM
13 years 8 months ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...