496 search results - page 18 / 100 » Semi-Supervised Learning of Mixture Models |
132
Voted
ICPR
2008
IEEE
16 years 7 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...
130
Voted
VISAPP
2008
15 years 7 months ago
2008
136
Voted
IDA
2010
Springer
15 years 4 months ago
2010
Springer
161
Voted
FGCN
2008
IEEE
15 years 8 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...
206
click to vote
TNN
2010
15 years 1 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...