Gradient-based multi-label feature selection considering three-way variable interaction-Reference-Cited by-同舟云学术

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Gradient-based multi-label feature selection considering three-way variable interaction

Published:2024-01 Issue: Volume:145 Page:109900
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zou Yizhang,Hu Xuegang,Li Peipei

Funder

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Fundamental Research Funds for the Central Universities

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. RCV1: A new benchmark collection for text categorization research;Lewis;J. Mach. Learn. Res.,2004

2. Multi-label classification of music into emotions;Trohidis,2008

3. A kernel method for multi-labelled classification;Elisseeff,2001

4. Learning multi-label scene classification;Boutell;Pattern Recognit.,2004

5. Multi-label learning by exploiting label correlations locally;Huang,2012

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3. Label distribution feature selection based on label-specific features;Applied Intelligence;2024-07-11

4. Multi-label feature selection via latent representation learning and dynamic graph constraints;Pattern Recognition;2024-07

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