z-logo
open-access-imgOpen Access
Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm
Author(s) -
Akira Terauchi,
Naoki Mori
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i11.17184
Subject(s) - computer science , generalization , benchmark (surveying) , machine learning , evolutionary algorithm , genetic algorithm , population , artificial intelligence , operator (biology) , computation , evolutionary computation , sampling (signal processing) , algorithm , data mining , mathematics , transcription factor , gene , filter (signal processing) , geodesy , demography , mathematical analysis , biochemistry , geography , chemistry , sociology , repressor , computer vision

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom