ActivePCA: A Novel Framework Integrating PCA and Active Machine Learning for Efficient Dimension Reduction-Reference-Cited by-同舟云学术

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ActivePCA: A Novel Framework Integrating PCA and Active Machine Learning for Efficient Dimension Reduction

Published:2024-07-02 Issue: Volume:23 Page:320-325
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Bhyregowda Priyanka¹,Masum Mohammad¹,Mamudu Lohuwa²,Chowdhurv Mohammed³,Kosaraiu Sai Chandra⁴,Shahriar Hossain⁵

Affiliation:

1. San Jose State University

2. California State University,Fullerton

3. Western Illinois University

4. University of Nevada,Las Vegas

5. University of West Florida,Pensacola,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633364.pdf?arnumber=10633364

Reference25 articles.

1. A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues

2. Active learning: a step towards automating medical concept extraction

3. Active learning literature survey. Computer Sciences Technical Report 1648;Settles,2009

4. Four Uncertain Sampling Methods are Superior to Random Sampling Method in Classification

5. Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning

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