ReliefF-based Multi-label Feature Selection-Reference-Cited by-同舟云学术

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ReliefF-based Multi-label Feature Selection

Published:2015-08-30 Issue:4 Volume:8 Page:307-318
ISSN:2005-4270
Container-title:International Journal of Database Theory and Application
language:
Short-container-title:IJDTA

Author:

Cai Yaping,Yang Ming,Gao Yang,Yin Hujun

Publisher

NADIA

Subject

General Computer Science

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-label feature selection via spectral clustering-based label enhancement and manifold distribution consistency;International Journal of Machine Learning and Cybernetics;2024-05-09

2. Exploring Label-Specific Feature Weights for Multi-label Feature Selection Using FWMABAC-MFS;Lecture Notes in Networks and Systems;2024

3. A syndrome differentiation model of TCM based on multi-label deep forest using biomedical text mining;Frontiers in Genetics;2023-10-03

4. Multi-label feature selection based on fuzzy neighborhood rough sets;Complex & Intelligent Systems;2022-01-10

5. Ml-Prdf：A Syndrome Differentiation Model of Traditional Chinese Medicine Based on Pcc-Mlrf and Multi-Label Deep Forest;SSRN Electronic Journal;2022

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