1658 search results - page 17 / 332 » Learning Mixtures of Gaussians |
108
Voted
UAI
2000
15 years 1 months ago
2000
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
116
Voted
PAMI
2008
15 years 12 days ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
112
Voted
CSDA
2007
15 years 12 days ago
2007
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
128
Voted
FLAIRS
2009
14 years 10 months ago
2009
As robots become more common, it becomes increasingly useful for them to communicate and effectively share knowledge that they have learned through their individual experiences. L...
139
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
In many applications non-stationary Gaussian or stationary nonGaussian noises can be observed. In this paper we present a maximum a posteriori estimation jointly of spectral ampli...