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JMLR
2010
136views more  JMLR 2010»
13 years 2 months ago
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming
This paper considers the problem of estimating a high dimensional inverse covariance matrix that can be well approximated by "sparse" matrices. Taking advantage of the c...
Ming Yuan
GFKL
2005
Springer
82views Data Mining» more  GFKL 2005»
14 years 28 days ago
Robust Multivariate Methods: The Projection Pursuit Approach
Projection pursuit was originally introduced to identify structures in multivariate data clouds (Huber, 1985). The idea of projecting data to a lowdimensional subspace can also be ...
Peter Filzmoser, Sven Serneels, Christophe Croux, ...
CCECE
2006
IEEE
14 years 1 months ago
Breast Cancer Prognosis via Gaussian Mixture Regression
This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method ...
Tiago H. Falk, Hagit Shatkay, Wai-Yip Chan
BMCBI
2006
122views more  BMCBI 2006»
13 years 7 months ago
A multivariate prediction model for microarray cross-hybridization
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...
COMPGEOM
2004
ACM
14 years 25 days ago
On the least median square problem
We consider the exact and approximate computational complexity of the multivariate LMS linear regression estimator. The LMS estimator is among the most widely used robust linear s...
Jeff Erickson, Sariel Har-Peled, David M. Mount