Adaptive Data Compression for Classification Problems

Adaptive Data Compression for Classification Problems

Data subset selection is a crucial task in deploying machine learning algorithms under strict constraints regarding memory and computation resources. Despite extensive research in this area, a practical difficulty is the lack of rigorous strategies for identifying the optimal size of the reduced dat...

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Bibliographic Details
Main Authors: Farhad Pourkamali-Anaraki, Walter D. Bennette
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Adaptive algorithms
supervised learning
classification algorithms
compression algorithms
Online Access:https://ieeexplore.ieee.org/document/9627182/

Internet

https://ieeexplore.ieee.org/document/9627182/

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