Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation-Reference-Cited by-同舟云学术

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Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation

Published:2022-02-03 Issue: Volume: Page:1-12
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Wang Andi¹²,Du Juan¹³^ORCID,Zhang Xi⁴^ORCID,Shi Jianjun⁵

Affiliation:

1. The Polytechnic School, Arizona State University, Mesa, AZ

2. Guangzhou HKUST Fok Ying Tung Research Institute, Guangzhou, China

3. The Hong Kong University of Science and Technology, Guangzhou, China

4. Peking University, Beijing, China

5. Georgia Institute of Technology, Atlanta, GA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2021.2020171

Reference40 articles.

1. Problem Analysis at a Semiconductor Company: A Case Study on IC Packages

2. Permutation importance: a corrected feature importance measure

3. Lectures on Modern Convex Optimization

4. Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression

5. Split Regularized Regression

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