467 search results - page 22 / 94 » Learning Mixtures of DAG Models |
BMEI
2009
IEEE
13 years 8 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...
CSDA
2007
13 years 7 months 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...
NECO
1998
13 years 7 months ago
1998
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...