3668 search results - page 135 / 734 » Margin Distribution and Learning |
129
Voted
NIPS
2004
15 years 6 months ago
2004
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
112
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CSDA
2004
15 years 4 months ago
2004
We propose a copula based statistical method of fitting joint cumulative returns between a market index and a stock from the index family to daily data. Modifying the method of in...
128
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PAMI
2002
15 years 4 months ago
2002
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
156
Voted
CVPR
2011
IEEE
15 years 23 days ago
2011
IEEE
Traditional computer vision and machine learning algorithms have been largely studied in a centralized setting, where all the processing is performed at a single central location....
133
Voted
ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
We state and analyze the first active learning algorithm which works in the presence of arbitrary forms of noise. The algorithm, A2 (for Agnostic Active), relies only upon the ass...