9 search results - page 2 / 2 » On the Complexity of Linear Prediction: Risk Bounds, Margin ... |
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
JMLR
2010
13 years 2 days ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
ECBS
1999
IEEE
13 years 9 months ago
1999
IEEE
Engineering systems are becoming increasingly complex as state of the art technologies are incorporated into designs. Surety modeling and analysis is an emerging science which per...
ML
2008
ACM
13 years 5 months ago
2008
ACM
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...