16 search results - page 1 / 4 » Direct importance estimation with probabilistic principal co... |
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
73
Voted
IEICET
2010
14 years 8 months ago
2010
Estimating the ratio of two probability density functions (a.k.a. the importance) has recently gathered a great deal of attention since importance estimators can be used for solvi...
ESANN
2007
14 years 11 months ago
2007
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
97
Voted
BMCBI
2010
14 years 9 months ago
2010
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
CSDA
2006
14 years 9 months ago
2006
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...