Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning
- DOI
- 10.1007/978-3-031-20490-6_14
- Published
- 2022
- Container
- Communications in Computer and Information Science
- Publisher
- Springer International Publishing
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-20490-6_14,
title = {Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning},
author = {Moncef Garouani and Adeel Ahmad and Mourad Bouneffa and Mohamed Hamlich},
year = {2022},
journal = {Communications in Computer and Information Science},
doi = {10.1007/978-3-031-20490-6_14},
url = {https://doi.org/10.1007/978-3-031-20490-6_14}
}RIS
TY - JOUR TI - Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning AU - Moncef Garouani AU - Adeel Ahmad AU - Mourad Bouneffa AU - Mohamed Hamlich PY - 2022 JO - Communications in Computer and Information Science DO - 10.1007/978-3-031-20490-6_14 UR - https://doi.org/10.1007/978-3-031-20490-6_14 ER -
APA
Garouani, M., Ahmad, A., Bouneffa, M., & Hamlich, M. (2022). Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-031-20490-6_14
Source records
- crossref · retrieved 2026-09-26T04:20:34.214Z