Prototype Generation with the sUpervised Classifier System on kNN Matching-Reference-Cited by-同舟云学术

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Prototype Generation with the sUpervised Classifier System on kNN Matching

Published:2024-06-30 Issue: Volume:32 Page:1-8
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Yatsu Naoya¹,Shiraishi Hiroki²,Sato Hiroyuki¹,Takadama Keiki³

Affiliation:

1. The University of Electro-Communications,Department of Informatics,Tokyo,Japan,182-8585

2. Yokohama National University,Department of Electrical Engineering and Computer Science,Yokohama,Japan,240-8501

3. University of Tokyo,Interdisciplinary Information Science Research Division,Chiba,Japan,277-0882

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611796.pdf?arnumber=10611796

Reference19 articles.

1. Stochastic neigbor compression;Kusner,2014

2. Towards explainable deep neural networks (xDNN)

3. A memetic algorithm for evolutionary prototype selection: A scaling up approach

4. Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification

5. Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data

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