1419 search results - page 58 / 284 » Approximation Methods for Supervised Learning |
DAGM
2004
Springer
14 years 3 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
MICCAI
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
SAC
2006
ACM
13 years 10 months ago
2006
ACM
Fast and accurate fault detection is becoming an essential component of management software for mission critical systems. A good fault detector makes possible to initiate repair a...
CDC
2010
IEEE
13 years 5 months ago
2010
IEEE
Approximate policy iteration methods based on temporal differences are popular in practice, and have been tested extensively, dating to the early nineties, but the associated conve...
ICML
2009
IEEE
14 years 4 months ago
2009
IEEE
In this work, we extend the ellipsoid method, which was originally designed for convex optimization, for online learning. The key idea is to approximate by an ellipsoid the classi...