-
Notifications
You must be signed in to change notification settings - Fork 2
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
2 changed files
with
17 additions
and
7 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,6 +1,6 @@ | ||
# About | ||
|
||
ANOVAapprox.jl has been developed during the research for several papers; see ... . | ||
ANOVAapprox.jl has been developed during the research for several papers. | ||
It is currently maintained by [Michael Schmischke](https://tu-chemnitz.de/~miscmi) ([email protected]) with contributions from Felix Bartel. | ||
|
||
If you want to contribute or have any questions, visit the [GitHub repository](https://github.com/NFFT/ANOVAapprox.jl/) to clone/fork the repository or open an issue. |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,15 +1,25 @@ | ||
# Welcome to ANOVAapprox.jl | ||
|
||
ANOVAapprox package | ||
This package provides a framework for the method ANOVAapprox to approximate high-dimensional functions with a low superposition dimension or a sparse ANOVA decomposition from scattered data. | ||
|
||
## Literature | ||
|
||
```@raw html | ||
<ul> | ||
<li id="BaPoSc">[<a>Bartel, Potts, Schmischke, 2021</a>] | ||
F. Bartel, D. Potts, M. Schmischke. Grouped transformations in high-dimensional explainable ANOVA approximation.</emph> | ||
Preprint 2021. | ||
arXiv: <a href="https://arxiv.org/abs/2010.10199">2010.10199</a>. | ||
</li> | ||
<li>D. Potts und M. Schmischke <br> | ||
<b>Interpretable transformed ANOVA approximation on the example of the prevention of forest fires</b> <br> | ||
<a href="https://arxiv.org/abs/2110.07353">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~potts/paper/anovatransf.pdf">PDF</a></li> | ||
<li>D. Potts und M. Schmischke <br> | ||
<b>Interpretable approximation of high-dimensional data</b> <br> | ||
SIAM Journal on Mathematics of Data Science (accepted) <br> | ||
<a href="https://arxiv.org/abs/2103.13787">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~potts/paper/intanova.pdf">PDF</a>, <a href="https://github.com/NFFT/AttributeRankingExamples">Software</a></li> | ||
<li>D. Potts und M. Schmischke <br> | ||
<b>Learning multivariate functions with low-dimensional structures using polynomial bases</b><br> | ||
Journal of Computational and Applied Mathematics 403, 113821, 2021<br> | ||
<a href="https://doi.org/10.1016/j.cam.2021.113821">DOI</a>, <a href="https://arxiv.org/abs/1912.03195">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~potts/paper/ANOVA_T.pdf">PDF</a></li> | ||
<li>D. Potts und M. Schmischke <br> | ||
<b>Approximation of high-dimensional periodic functions with Fourier-based methods</b><br> | ||
SIAM Journal on Numerical Analysis 59 (5), 2393-2429, 2021<br> | ||
<a href="https://doi.org/10.1137/20M1354921">DOI</a>, <a href="https://arxiv.org/abs/1907.11412">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~potts/paper/anova.pdf">PDF</a></li> | ||
</ul> | ||
``` |
6d7fa8a
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
@JuliaRegistrator register branch=main
6d7fa8a
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Registration pull request created: JuliaRegistries/General/48200
After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.
This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via: