3 search results - page 1 / 1 » On selecting the hyperparameters of the DPM models for the d... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
MA
2010
Springer
13 years 3 months ago
2010
Springer
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
TEC
2010
12 years 11 months ago
2010
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...