Semi-supervised Feature Importance Evaluation with Ensemble Learning-Reference-Cited by-同舟云学术

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Semi-supervised Feature Importance Evaluation with Ensemble Learning

Published:2011-12 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE 11th International Conference on Data Mining
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Author:

Barkia Hasna,Elghazel Haytham,Aussem Alex

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6135855/6137189/06137207.pdf?arnumber=6137207

Cited by 12 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. SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy;IEEE Transactions on Fuzzy Systems;2023-10

2. A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring;IEEE Transactions on Automation Science and Engineering;2022

3. A Comprehensive Survey on the Process, Methods, Evaluation, and Challenges of Feature Selection;IEEE Access;2022

4. Semi‐supervised Robust Feature Selection with ℓq‐Norm Graph for Multiclass Classification;Chinese Journal of Electronics;2021-07

5. A machine-learning framework for predicting multiple air pollutants' concentrations via multi-target regression and feature selection;Science of The Total Environment;2020-05

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