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CAS
2007
87views more  CAS 2007»
13 years 7 months ago
An Accelerated Algorithm for Density Estimation in Large Databases Using Gaussian Mixtures
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...
Alvaro Soto, Felipe Zavala, Anita Araneda
ESM
2000
13 years 9 months ago
Filtered Gibbs sampler for estimating blocking probabilities in WDM optical networks
Blocking probabilities in Wavelength Division Multiplex optical networks are hard to compute for realistic sized systems, even though analytical formulas for the distribution exis...
Felisa J. Vázquez-Abad, Lachlan L. H. Andre...
CSDA
2010
208views more  CSDA 2010»
13 years 7 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
MCFNS
2010
88views more  MCFNS 2010»
13 years 2 months ago
The role of misclassification in estimating proportions and an estimator of misclassification
Dot grids are often used to estimate the proportion of land cover belonging to some class in an aerial photograph. Interpreter misclassification is an often-ignored source of error...
Patrick L. Zimmerman, Greg C. Liknes
NIPS
1998
13 years 9 months ago
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
Tony Jebara, Alex Pentland