801 search results - page 32 / 161 » Estimating Likelihoods for Topic Models |
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
92
Voted
CLASSIFICATION
2007
15 years 24 days ago
2007
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
107
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...
105
Voted
TCOM
2011
14 years 7 months ago
2011
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...
ICA
2007
Springer
15 years 7 months ago
2007
Springer
We extend the Gaussian scale mixture model of dependent subspace source densities to include non-radially symmetric densities using Generalized Gaussian random variables linked by ...