605 search results - page 2 / 121 » A new information criterion for the selection of subspace mo... |
IEICET
2007
13 years 8 months ago
2007
Estimating the generalization error is one of the key ingredients of supervised learning since a good generalization error estimator can be used for model selection. An unbiased g...
ISNN
2005
Springer
14 years 2 months ago
2005
Springer
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...
CSDA
2006
13 years 8 months ago
2006
Following the work of Hurvich, Shumway, and Tsai (1990), we propose an "improved" variant of the Akaike information criterion, AICi, for state-space model selection. The...
CSDA
2008
13 years 8 months ago
2008
BMEI
2009
IEEE
13 years 9 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...