251 search results - page 16 / 51 » A Greedy EM Algorithm for Gaussian Mixture Learning |
IJON
1998
14 years 9 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
82
Voted
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
61
Voted
CAS
2007
14 years 9 months ago
2007
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...
TASLP
2010
14 years 4 months ago
2010
This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic relationship between the fr...
STOC
2010
ACM
15 years 1 months ago
2010
ACM
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble...