72 search results - page 7 / 15 » Generalizing Apprenticeship Learning across Hypothesis Class... |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured mod...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
COLT
2000
Springer
13 years 11 months ago
2000
Springer
Haussler, Kearns, Seung and Tishby introduced the notion of a shell decomposition of the union bound as a means of understanding certain empirical phenomena in learning curves suc...
ALT
2009
Springer
13 years 10 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
UAI
2008
13 years 8 months ago
2008
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...