Search Results for author: Weixin Yao

Found 3 papers, 2 papers with code

Supervised Dictionary Learning with Auxiliary Covariates

1 code implementation14 Jun 2022 Joowon Lee, Hanbaek Lyu, Weixin Yao

Supervised dictionary learning (SDL) is a classical machine learning method that simultaneously seeks feature extraction and classification tasks, which are not necessarily a priori aligned objectives.

Dictionary Learning Document Classification +1

Pursuing Sources of Heterogeneity in Modeling Clustered Population

no code implementations10 Mar 2020 Yan Li, Chun Yu, Yize Zhao, Robert H. Aseltine, Weixin Yao, Kun Chen

We clarify the concepts of the source of heterogeneity that account for potential scale differences of the clusters and propose a regularized finite mixture effects regression to achieve heterogeneity pursuit and feature selection simultaneously.

feature selection regression

Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection

2 code implementations13 May 2014 Longhai Li, Weixin Yao

We have used simulation studies and real data analysis to demonstrate the superior performance of hyper-LASSO priors, and to investigate the issues of choosing heaviness and scale of hyper-LASSO priors.

feature selection regression

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