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Elastic net regularization
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11	Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm Eugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, Anna Konova, Jean Honorio, Nelly Alia-Kl Add to Reading List Source URL: hal.inria.fr Language: English - Date: 2015-04-10 08:40:31 Mathematics Regression analysis Estimation theory Econometrics Regularization Functional magnetic resonance imaging Tikhonov regularization Elastic net regularization Norm Statistics Machine learning Linear algebra
12	Intra- and Inter-sparse Multiple Output Regression with Application on Environmental Microbial Community Study Jie Yang† , Henry C.M. Leung† , S.M. Yiu† , Yunpeng Cai‡ , Francis Y.L. Chin† * † Department of Add to Reading List Source URL: i.cs.hku.hk Language: English - Date: 2014-02-11 21:17:30 Estimation theory Linear algebra Machine learning Elastic net regularization Linear regression Tikhonov regularization Matrix Regularization Markov chain Statistics Regression analysis Econometrics
13	Some Properties of Generalized Fused Lasso and Its Applications to High Dimensional Data Woncheol Jang, Johan Lim Seoul National University, Seoul, Korea, wjang, Ji Meng Loh Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Regularization Lasso Tikhonov regularization Feature selection Least-angle regression Statistics Regression analysis Elastic net regularization
14	“Love ya, jerkface”: using Sparse Log-Linear Models to Build Positive (and Impolite) Relationships with Teens William Yang Wang, Samantha Finkelstein, Amy Ogan, Alan W Black, Justine Cassell School of Computer Scienc Add to Reading List Source URL: www.justinecassell.com Language: English - Date: 2012-11-23 14:58:19 Regression analysis Peer tutor Tutor Regularization Lasso Cognition Education Learning Elastic net regularization
15	Discovering Predictors of Mental Health Service Utilization with k-support Regularized Logistic Regression Hakim Sidahmed, Elena Prokofyeva, Matthew Blaschko To cite this version: Add to Reading List Source URL: hal.inria.fr Language: English - Date: 2015-04-07 14:47:10 Regularization Elastic net regularization Logistic regression Tikhonov regularization Stepwise regression Feature selection Multicollinearity Spurious relationship Multinomial logit Statistics Regression analysis Least squares
16	Microsoft Word - JSS_Jian_huang_27_May_2010.doc Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2010-05-17 23:50:39 Data Elastic net regularization Mnet Statistics Feature selection Brown Eyed Girls Information Regression analysis Science
17	Regularized Regression David M. Blei Columbia University December 3, 2014 Modern regression problems are high dimensional, which means that the number of covariates p is large. In practice statisticians regularize their Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Econometrics Least squares Parametric statistics Regularization Linear regression Tikhonov regularization Elastic net regularization Mean squared error Maximum likelihood Statistics Estimation theory Regression analysis
18	HORSES: Hexagonal Operator for Regression with Shrinkage and Equality Selection Woncheol Jang, Donghyeon Yu, Johan Lim* Seoul National University, Seoul, Korea wjang,bunguji, Nicole Lazar Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Estimation theory Statistical theory Machine learning Regularization Shrinkage Feature selection Elastic net regularization Statistics Regression analysis Econometrics
19	C:/Documents and Settings/Alex/My Documents/Princeton/papers/aistats2010_pen/aistats_pen_v11.dvi Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Parametric statistics Econometrics Linear regression Elastic net regularization Ordinary least squares Statistics Regression analysis Estimation theory
20	Notes 3 Statistical Machine Learning Linear Methods Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:36 Econometrics Estimation theory Machine learning Least squares Least absolute deviations Linear regression Regularization Elastic net regularization Tikhonov regularization Statistics Regression analysis Mathematical optimization

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