327 search results - page 13 / 66 » Density Estimation by Mixture Models with Smoothing Priors |
UAI
2000
13 years 10 months ago
2000
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
AVSS
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
CLASSIFICATION
2007
13 years 8 months 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...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
We derive an asymptotic Newton algorithm for Quasi Maximum Likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture frame...
TSMC
2010
13 years 3 months ago
2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...