CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data-Reference-Cited by-同舟云学术

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CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Big Knowledge (ICBK)
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Author:

Chen Zhong,Fang Zhide,Sheng Victor,Edwards Andrea,Zhang Kun

Funder

NIH

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9667543/9667672/09667745.pdf?arnumber=9667745

Reference35 articles.

1. Addressing the curse of imbalanced training sets: one-sided selection;kubat;ICML,1997

2. Online convex programming and generalized infinitesi-mal gradient ascent;zinkevich;ICML,2003

3. Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications

4. Cost-sensitive online active learning with application to malicious URL detection

5. Libol: A library for online learning algorithms;hoi;JMLR,2014

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2. Cost-sensitive sparse group online learning for imbalanced data streams;Machine Learning;2023-11-20

3. Proximal Cost-sensitive Sparse Group Online Learning;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

4. Projection Dual Averaging Based Second-order Online Learning;2022 IEEE International Conference on Data Mining (ICDM);2022-11

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