A note on adaptive group lasso

A note on adaptive group lasso

10.1016/j.csda.2008.05.006

Saved in:

書目詳細資料
Main Authors:	Wang, H., Leng, C.
其他作者:	STATISTICS & APPLIED PROBABILITY
格式:	Article
出版:	2014
在線閱讀:	http://scholarbank.nus.edu.sg/handle/10635/104951
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	National University of Singapore

相似書籍

A note on the Lasso and related procedures in model selection
由: Leng, C., et al.
出版: (2014)

Bayesian adaptive Lasso
由: Leng, C., et al.
出版: (2014)

The predictive Lasso
由: Tran, M.-N., et al.
出版: (2014)

Correlation adaptive subspace segmentation by trace lasso
由: Lu, C., et al.
出版: (2014)

EFFICIENT HESSIAN BASED ALGORITHMS FOR SOLVING SPARSE GROUP LASSO AND MULTIPLE GRAPHICAL LASSO PROBLEMS
由: ZHANG YANGJING
出版: (2019)

Unified LASSO estimation by least squares approximation
由: Wang, H., et al.
出版: (2014)

Shrinkage estimation of common breaks in panel data models via adaptive group fused Lasso
由: QIAN, Junhui, et al.
出版: (2016)

A proximal point algorithm for log-determinant optimization with group Lasso regularization
由: Yang, J., et al.
出版: (2014)

Towards multi-semantic image annotation with graph regularized exclusive group Lasso
由: Chen, X., et al.
出版: (2013)

Path consistent model selection in additive risk model via Lasso
由: Leng, C., et al.
出版: (2014)

Model selection in validation sampling: An asymptotic likelihood-based lasso approach
由: Leng, C., et al.
出版: (2014)

Nylon tape as a ganglion lasso [10]
由: Lee, S.J., et al.
出版: (2013)

Exclusive Lasso for Multi-task Feature Selection
由: ZHOU, Yang, et al.
出版: (2010)

Model Selection in Validation Sampling Data: An Asymptotic Likelihood-based LASSO Approach
由: LENG, Chenlei, et al.
出版: (2011)

A Bayesian mixture of lasso regressions with t-errors
由: Cozzini, A., et al.
出版: (2016)

NotePals: Lightweight note sharing by the group, for the group
由: DAVIS, Richard C., et al.
出版: (1999)

LASSO operations manual - 2006 edition
由: Polanco, Christopher N.
出版: (2006)

Parallel lasso for large-scale video concept detection
由: Geng, B., et al.
出版: (2013)

A unified robust regression model for Lasso-like algorithms
由: Yang, W., et al.
出版: (2014)

Supervised trace lasso for robust face recognition
由: Lai, Jian, et al.
出版: (2016)

Spline-Lasso in High-Dimensional Linear Regression
由: Jianhua Guo, et al.
出版: (2018)

Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso
由: David Nott
出版: (2019)

Lasso environment model combination for robust speech recognition
由: Xiao, Xiong, et al.
出版: (2013)

Error bounds for the convex loss Lasso in linear models
由: Hannay, Mark, et al.
出版: (2018)

Very short term irradiance forecasting using the lasso
由: Yang, Dazhi, et al.
出版: (2016)

A note on the signature representations of the symmetric groups
由: Lim, Kay Jin, et al.
出版: (2022)

Notepals: Lightweight Note Taking by the Group, for the Group
由: Davis, Richard C., et al.
出版: (1998)

Predictive taxonomy analytics (LASSO): Predicting outcome types of cyber breach
由: GOH, Jing Rong, et al.
出版: (2023)

Predictive taxonomy analytics (LASSO): predicting outcome types of cyber breach
由: Goh, Jing Rong, et al.
出版: (2024)

A simple and efficient algorithm for fused lasso signal approximator with convex loss function
由: Wang, Lichun, et al.
出版: (2013)

A simple and efficient algorithm for fused lasso signal approximator with convex loss function
由: You, Yuan, et al.
出版: (2013)

Forecasting of Thailand's rice exports price: Based on ridge and Lasso regression
由: Petchaluck Boonyakunakorn, et al.
出版: (2020)

Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO
由: Bing Cai Kok, et al.
出版: (2021)

APPLICATION OF THE LASSO FUNCTION IN COMPRESSIVE SENSING FOR IMAGE RECONSTRUCTION OF MICROWAVE TOMOGRAPHY
由: Kurnia Imanda, Dian

A HIGHLY EFFICIENT SEMISMOOTH NETWON AUGMENTED LAGRANGIAN METHOD FOR SOLVING LASSO PROBLEMS
由: ZHAO HANGDONG
出版: (2021)

Simultaneous estimation and variable selection in median regression using Lasso-type penalty
由: Xu, J., et al.
出版: (2014)

A note on quasi-uniform distributions and Abelian group representability
由: Thomas, Eldho K., et al.
出版: (2012)

BAND SPECTRAL REGRESSION AND LASSO: CAN IT IMPROVE FORECASTING PERFORMANCE OF EXCHANGE RATE FUNDAMENTAL MODELS?
由: LIAW WYI WYING
出版: (2023)

PREDICTION OF ITB ALUMNIâS SALARY WITH MULTIPLE LINEAR REGRESSION MODELS USING RIDGE AND LASSO REGULARIZATION
由: Valentino, Andreas

A note on complex group structures, associated companies, and credit evaluation
由: Wilkins, T.
出版: (2013)