AutoConf: Automated configuration of unsupervised learning systems using metamorphic testing and Bayesian optimization

AutoConf: Automated configuration of unsupervised learning systems using metamorphic testing and Bayesian optimization

Unsupervised learning systems using clustering have gained significant attention for numerous applications due to their unique ability to discover patterns and structures in large unlabeled datasets. However, their effectiveness highly depends on their configuration, which requires domain-specific e...

Full description

Saved in:
Bibliographic Details
Main Authors: SHAR, Lwin Khin, GOKNIL Arda, HUSOM, Erik Johannes, SEN, Sagar Sen, YAN, Naing Tun, KIM, Kisub
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
AutoML
Unsupervised learning
Metamorphic Testing
Bayesian Optimization
Information Security
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/8405
https://ink.library.smu.edu.sg/context/sis_research/article/9408/viewcontent/Testing_Unsupervised_Learning___ASE_2023.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/8405
https://ink.library.smu.edu.sg/context/sis_research/article/9408/viewcontent/Testing_Unsupervised_Learning___ASE_2023.pdf

Similar Items