<--- Back to Details
First PageDocument Content
Econometrics / Multivariate statistics / Linear algebra / Linear regression / Tikhonov regularization / Regularization / Least squares / General linear model / Lasso / Statistics / Regression analysis / Estimation theory
Date: 2010-12-27 00:49:35
Econometrics
Multivariate statistics
Linear algebra
Linear regression
Tikhonov regularization
Regularization
Least squares
General linear model
Lasso
Statistics
Regression analysis
Estimation theory

Support union recovery in high-dimensional multivariate regression

Add to Reading List

Source URL: www.eecs.berkeley.edu

Download Document from Source Website

File Size: 916,50 KB

Share Document on Facebook

Similar Documents

J. R. Statist. Soc. B, Part 3, pp. 575–589 Bayesian variable selection and regularization for time–frequency surface estimation Patrick J. Wolfe, Simon J. Godsill and Wee-Jing Ng

DocID: 1vqA2 - View Document

A PDE APPROACH TO REGULARIZATION IN DEEP LEARNING ADAM OBERMAN JOINT WORK WITH CHAUDHARI, OSHER, SOATTO AND CARLIER The fundamental tool for training deep neural networks is Stochastic Gradient

DocID: 1vpo0 - View Document

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 23, NO. 11, NOVEMBERSemisupervised Classification With Cluster Regularization

DocID: 1vmvh - View Document

Downloaded by [the Bodleian Libraries of the University of Oxford] at 00:41 03 NovemberOptimization Methods & Software iFirst, 2011, 1–23 Evaluation complexity of adaptive cubic regularization methods

DocID: 1vlOh - View Document

Prior knowledge regularization in statistical medical image tasks Alessandro Crimi1 , Jon Sporring1 , Marleen de Bruijne2 , Martin Lillholm3 , Mads Nielsen1,3 DIKU, University of Copenhagen, Denmark Erasmus University Me

DocID: 1vkIf - View Document