Parallel-FST: A feature selection library for multicore clusters-Reference-Cited by-同舟云学术

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Parallel-FST: A feature selection library for multicore clusters

Published:2022-11 Issue: Volume:169 Page:106-116
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Beceiro Bieito^ORCID,González-Domínguez Jorge^ORCID,Touriño Juan^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference37 articles.

1. Using mutual information for selecting features in supervised neural net learning;Battiti;IEEE Trans. Neural Netw.,1994

2. Feature Selection for High-Dimensional Data;Bolón-Canedo,2015

3. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI;Braman;Breast Cancer Res.,2017

4. Conditional likelihood maximisation: a unifying framework for information theoretic feature selection;Brown;J. Mach. Learn. Res.,2012

5. LIBSVM: a library for support vector machines;Chang;ACM Trans. Intell. Syst. Technol.,2011

Cited by 2 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. CUDA acceleration of MI-based feature selection methods;Journal of Parallel and Distributed Computing;2024-08

2. Parallel Feature Subset Selection Wrappers Using k-means Classifier;WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS;2023-03-09

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