Visible-hidden hybrid automatic feature engineering via multi-agent reinforcement learning-Reference-Cited by-同舟云学术

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Visible-hidden hybrid automatic feature engineering via multi-agent reinforcement learning

Published:2024-09 Issue: Volume:299 Page:111941
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Liu Zhenyu,Zhang Donghao,Liu Hui^ORCID,Dong Zihan,Jia Weiqiang,Tan Jianrong

Publisher

Elsevier BV

Reference53 articles.

1. Deep learning-based feature engineering for stock price movement prediction;Long;Knowl.-Based Syst.,2019

2. MUNPE:Multi-view uncorrelated neighborhood preserving embedding for unsupervised feature extraction;Jayashree;Knowl.-Based Syst.,2024

3. Benchmark and survey of automated machine learning frameworks;Zöller;J. Artif. Intell. Res.,2021

4. Automated feature enhancement for predictive modeling using external knowledge;Galhotra,2019

5. Automated machine learning: Review of the state-of-the-art and opportunities for healthcare;Waring;Artif. Intell. Med.,2020

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