15 search results - page 2 / 3 » Covariance and PCA for Categorical Variables |
BIOINFORMATICS
2010
2010
partDSA: deletion/substitution/addition algorithm for partitioning the covariate space in prediction
13 years 5 months ago
The partDSA package (Molinaro, Lostritto, and Weston 2009) provides a novel recursive partitioning tool for prediction when numerous variables jointly affect the outcome. In such ...
ISBI
2007
IEEE
13 years 11 months ago
2007
IEEE
Statistical shape analysis techniques commonly employed in the medical imaging community, such as Active Shape Models or Active Appearance Models, rely on Principal Component Anal...
IPMI
2003
Springer
14 years 5 months ago
2003
Springer
The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
JMLR
2010
12 years 11 months ago
2010
We propose a novel group regularization which we call exclusive lasso. Unlike the group lasso regularizer that assumes covarying variables in groups, the proposed exclusive lasso ...
DAC
2004
ACM
14 years 5 months ago
2004
ACM
Current technology trends have led to the growing impact of both inter-die and intra-die process variations on circuit performance. While it is imperative to model parameter varia...