801 search results - page 85 / 161 » Estimating Likelihoods for Topic Models |
BMCBI
2005
13 years 11 months ago
2005
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
CSL
2010
Springer
13 years 9 months ago
2010
Springer
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
KDD
2006
ACM
14 years 11 months ago
2006
ACM
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
ICASSP
2008
IEEE
14 years 5 months ago
2008
IEEE
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...