rkhsregularization.jl
Light weight RKHS regularization (e.g. Gaussian process regression without statistical-considerations) tools with dimensional expansion kernels.
Science Score: 44.0%
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○Scientific vocabulary similarity
Low similarity (1.3%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Light weight RKHS regularization (e.g. Gaussian process regression without statistical-considerations) tools with dimensional expansion kernels.
Basic Info
- Host: GitHub
- Owner: RoyCCWang
- License: mpl-2.0
- Language: Julia
- Default Branch: main
- Size: 40 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 3 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
License
Citation
README.md
RKHSRegularization.jl
Solves RKHS Regularization problem and fits Gaussian process regression.
Owner
- Name: Roy Wang
- Login: RoyCCWang
- Kind: user
- Repositories: 4
- Profile: https://github.com/RoyCCWang
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Wang" given-names: "Roy Chih Chung" orcid: "https://orcid.org/0000-0002-1391-4536" title: "RoyCCWang/RKHSRegularization.jl" version: 0.4.2 date-released: 2024-01-10 url: "https://github.com/RoyCCWang/RKHSRegularization.jl"