496 search results - page 18 / 100 » Semi-Supervised Learning of Mixture Models |
112
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ICPR
2008
IEEE
16 years 6 months ago
2008
IEEE
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
119
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IDA
2010
Springer
15 years 3 months ago
2010
Springer
136
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FGCN
2008
IEEE
15 years 6 months ago
2008
IEEE
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...
181
Voted
TNN
2010
14 years 11 months ago
2010
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...