Support Vector Machine based Multi-Class Classification for Oriented Instance Selection-Reference-Cited by-同舟云学术

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Support Vector Machine based Multi-Class Classification for Oriented Instance Selection

Published:2023-04-26 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Inventive Computation Technologies (ICICT)
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Author:

Davuluri Sandeep Kumar¹,Srivastava Deepak²,Aeri Manisha³,Arora Madhur⁴,Keshta Ismail⁵,Rivera Richard⁶

Affiliation:

1. University of the Cumberlands,Department of Information Technology,Williamsburg,Kentucky

2. Himalayan school of Science and Technology, Swami Rama Himalayan University,Department of Computer Science and Engineering,Dehradun,India

3. Graphic Era Hill University,CSE,Dehradun,India

4. RGPV University,Bhopal

5. College of Applied Sciences, AlMaarefa University,Computer Science and Information Systems Department,Riyadh,Saudi Arabia

6. Escuela Politécnica Nacional,Department of Informatics and Computer Science,Quito,Ecuador

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10133935/10133936/10133966.pdf?arnumber=10133966

Reference22 articles.

1. A Class-Incremental Learning Method for Multi-Class Support Vector Machines in Text Classification

2. Multi-class Classification of Support Vector Machines Based on Double Binary Tree

3. Intelligent fake reviews detection based on aspect extraction and analysis using deep learning

4. Transformer Fault Diagnosis Based on Multi-Class AdaBoost Algorithm

5. Multi-Class Supervised Novelty Detection

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