605 search results - page 2 / 121 » A new information criterion for the selection of subspace mo... |
IEICET
2007
13 years 5 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
13 years 11 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 5 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 5 months ago
2008
BMEI
2009
IEEE
13 years 6 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...