Feature Selection and Classification using a Positive Learning Approach Focused on Graph and Neural Network-Reference-Cited by-同舟云学术

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Feature Selection and Classification using a Positive Learning Approach Focused on Graph and Neural Network

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Electronics, Communication and Aerospace Technology
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Author:

Sangeetha Devi A¹,Shanmugapriya A.²,Kalaivani A³

Affiliation:

1. P.A. College of Engineering & Technology,Department of Science & Humanities,Coimbatore,Tamilnadu,India

2. Sri Eshwar College of Engineering,Deapartment of ECE,Coimbatore,Tamilnadu,India

3. Nallamuthu Gounder Mahalingam College,Department of Computer Technology,Coimbatore,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009019/10009048/10009427.pdf?arnumber=10009427

Reference19 articles.

1. A graph Laplacian based approach to semi-supervised feature selection for regression problems

2. Near-optimal supervised feature selection among frequent subgranhs;thoma;Proceedings of the 2009 SIAM International Conference on Data Mining,0

3. Discriminative Feature Selection for Uncertain Graph Classification

4. Consistency Based Feature Selection

5. A Survey on semi-supervised feature selection methods

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