<--- Back to Details
First PageDocument Content
Estimation theory / Parametric statistics / Least squares / Linear regression / Ordinary least squares / Differential of a function / Sparse approximation / Nonparametric regression / Statistics / Regression analysis / Econometrics
Date: 2010-04-22 01:01:09
Estimation theory
Parametric statistics
Least squares
Linear regression
Ordinary least squares
Differential of a function
Sparse approximation
Nonparametric regression
Statistics
Regression analysis
Econometrics

Simultaneous analysis of Lasso and Dantzig selector

Add to Reading List

Source URL: www.stat.berkeley.edu

Download Document from Source Website

File Size: 280,43 KB

Share Document on Facebook

Similar Documents

Low Power Sparse Approximation on Reconfigurable Analog Hardware Samuel Shapero Student Member, IEEE*, Adam Charles Student Member, IEEE, Christopher Rozell Senior Member, IEEE, and Paul Hasler Senior Member, IEEE Abstr

DocID: 1vqlE - View Document

Sparse BRDF Approximation using Compressive Sensing Benoît Zupancic, Cyril Soler To cite this version: Benoît Zupancic, Cyril Soler. Sparse BRDF Approximation using Compressive Sensing. 6th Siggraph Conference and Exhi

DocID: 1tNDO - View Document

Approximation Bounds for Sparse Principal Component Analysis Alexandre d’Aspremont, CNRS & Ecole Polytechnique. With Francis Bach, INRIA-ENS and Laurent El Ghaoui, U.C. Berkeley.

DocID: 1tHn2 - View Document

Approximation Bounds for Sparse PCA Alexandre d’Aspremont, CNRS & Ecole Polytechnique with Francis Bach, INRIA-ENS and Laurent El Ghaoui, U.C. Berkeley A. d’Aspremont

DocID: 1tEcB - View Document

Linguistics / Mathematics / Lexical semantics / Semantics / Artificial neural networks / Natural language processing / Word-sense disambiguation / Word embedding / Word2vec / Sparse approximation / Word-sense induction / Discourse analysis

Linear Algebraic Structure of Word Senses, with Applications to Polysemy arXiv:1601.03764v1 [cs.CL] 14 JanSanjeev Arora

DocID: 1rogM - View Document