418 search results - page 3 / 84 » Robust multi-task feature learning |
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
ITS
2010
Springer
13 years 10 months ago
2010
Springer
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
ICTAI
1993
IEEE
13 years 9 months ago
1993
IEEE
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...
ACL
1998
13 years 6 months ago
1998
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...