2518 search results - page 219 / 504 » Machine learning in sedimentation modelling |
166
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
In this paper, we use large neighborhood Markov random fields to learn rich prior models of color images. Our approach extends the monochromatic Fields of Experts model (Roth &...
170
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
We develop a novel online learning algorithm for the group lasso in order to efficiently find the important explanatory factors in a grouped manner. Different from traditional bat...
189
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CVPR
2007
IEEE
16 years 27 days ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
182
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FOCS
1990
IEEE
15 years 10 months ago
1990
IEEE
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
179
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CRV
2009
IEEE
16 years 1 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...