47 search results - page 6 / 10 » A Regularization Approach to Nonlinear Variable Selection |
JMLR
2010
13 years 2 months ago
2010
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
MA
2010
Springer
13 years 5 months ago
2010
Springer
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
EOR
2007
13 years 7 months ago
2007
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
GIS
2009
ACM
13 years 11 months ago
2009
ACM
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...