1553 search results - page 1 / 311 » Agnostic Domain Adaptation |
DAGM
2011
Springer
12 years 4 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
ALT
2002
Springer
14 years 2 months ago
2002
Springer
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
CBSE
2008
Springer
13 years 7 months ago
2008
Springer
Systems are increasingly expected to adapt themselves to changing requirements and environmental situations with minimum user interactions. A challenge for self-adaptation is the i...
INFOCOM
2008
IEEE
13 years 11 months ago
2008
IEEE
—As wireless devices and sensors are increasingly deployed on people, researchers have begun to focus on wireless body-area networks. Applications of wireless body sensor network...
ICS
2010
Tsinghua U.
14 years 2 months ago
2010
Tsinghua U.
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...