VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization-Reference-Cited by-同舟云学术

VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization

Published:2021-06 Issue:3 Volume:40 Page:201-214
ISSN:0167-7055
Container-title:Computer Graphics Forum
language:en
Short-container-title:Computer Graphics Forum

Author:

Chatzimparmpas A.¹^ORCID,Martins R. M.¹^ORCID,Kucher K.¹^ORCID,Kerren A.¹²^ORCID

Affiliation:

1. Department of Computer Science and Media Technology Linnaeus University Sweden

2. Department of Science and Technology Linköping University Sweden

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.14300

Reference102 articles.

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2. AutoML — Google Cloud AutoML. Accessed February 26 2021. URL:https://cloud.google.com/automl/. 3

3. BayesOpt — Bayesian optimization for science and engineering. Accessed February 26 2021. URL:https://bayesopt.github.io/. 3

4. BergstraJ. BardenetR. BengioY. KéglB.: Algorithms for hyper‐parameter optimization. InProceedings of the 24th International Conference on Neural Information Processing Systems(2011) NIPS '11 Curran Associates Inc. pp.2546–2554. 2

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