Enhancing ELM by Markov Boundary based feature selection-Reference-Cited by-同舟云学术

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Enhancing ELM by Markov Boundary based feature selection

Published:2017-10 Issue: Volume:261 Page:57-69
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Yin Ying,Zhao Yuhai,Zhang Bin,Li Chenguang,Guo Song

Funder

National Natural Science Foundation of China

New Century Excellent Talents

Ministry of Education of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference52 articles.

1. Extreme learning machines: a survey;Huang;Int. J. Mach. Learn. Cybern.,2011

2. XML document classification based on ELM;Zhao;Neurocomputing,2011

3. On extending extreme learning machine to non-redundant synergy pattern based graph classification;Wang;Neurocomputing,2015

4. An on-line sequential learning method in social networks for node classification;Sun;Neurocomputing,2015

5. A hybrid method based on extreme learning machine and k-nearest neighbor for cloud classification of ground-based visible cloud image;Xia;Neurocomputing,2015

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1. Predictive Situation Awareness and Anomaly Forecasting in Cyber-Physical Systems;Security and Resilience in Cyber-Physical Systems;2022

2. Performance of ELM Using Max-Min Document Frequency-Based Feature Selection in Multilabeled Text Classification;Smart Innovation, Systems and Technologies;2020-10-31

3. An efficient gene selection method for microarray data based on LASSO and BPSO;BMC Bioinformatics;2019-12

4. Missing Data Characteristics and the Choice of Imputation Technique: An Empirical Study;Advances in Intelligent Systems and Computing;2019-11-02

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