Improving Robustness of Logistic Regression under Label Noise-Reference-Cited by-同舟云学术

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Improving Robustness of Logistic Regression under Label Noise

Published:2021-12-17 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES)
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Author:

Dubey Ratnesh Kumar¹,Choubey Dilip Kumar¹

Affiliation:

1. Indian Institute of Information Technology Bhagalpur,Bhagalpur,Bihar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751451/9751452/09751628.pdf?arnumber=9751628

Reference14 articles.

1. A General Framework for a Principled Hierarchical Visualization of Multivariate Data

2. Detecting outlying samples in microarray data: A critical assessment of the effect of outliers on sample classification

3. Efficiency of discriminant analysis when initial samples are classified stochastically

4. Pattern Warehouse: Context Based Modeling and Quality Issues

5. Iris Liveness Detection Using Fusion of Domain-Specific Multiple BSIF and DenseNet Features;choudhary;IEEE Transactions on Cybernetics,2020

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1. Automatic Train Overpass Using Camera and Load Sensors and Obstacle Detection;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

2. Cyber attack Detection Using Machine Learning Techniques;2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG);2023-12-08

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