Algorithm Selection Library
Abbreviation:ASlib
General Information
A benchmark library for algorithm selection problems in AI, with a standard data format and tools to work with the format. This record describes the project repository, which contains data sets retrieved from literature. However, new algorithm selection scenarios can be submitted by opening a pull request in the repository. A very simple starter script is also provided to generate a ASlib scenarios from two csv files with runtime data and instance features.
How to cite this record
FAIRsharing.org: ASlib; Algorithm Selection Library; DOI: https://doi.org/10.25504/FAIRsharing.ynxB7A;
Last edited: Jan. 8, 2019, 1:26 p.m.; Last accessed: Mar 01 2021 4:19 p.m.
Publication for citation
ASlib: A Benchmark Library for Algorithm Selection
Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Frechette, Holger Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren; Artificial Intelligence Journal ;
2016.
This record is maintained by
larsko
Record added: Aug. 17, 2018, 10:16 p.m.
Record updated:
Oct. 17, 2018, 1:21 p.m. by The FAIRsharing Team.
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Edits to 'https://fairsharing.org/FAIRsharing.ynxB7A' by 'The FAIRsharing Team' at 13:21, 17 Oct 2018 (approved):
'description' has been modified:
Before: A benchmark library for algorithm selection problems in AI, with a standard data format and tools to work with the format. This record describes the project repository, which contains data sets retrieved from literature. However, new algorithm selection scenario can be submitted by opening a pull request in the repository. A very simple starter script is also provided to generate a ASlib scenarios from two csv files with runtime data and instance features.
After: A benchmark library for algorithm selection problems in AI, with a standard data format and tools to work with the format. This record describes the project repository, which contains data sets retrieved from literature. However, new algorithm selection scenarios can be submitted by opening a pull request in the repository. A very simple starter script is also provided to generate a ASlib scenarios from two csv files with runtime data and instance features.
Edits to 'https://fairsharing.org/FAIRsharing.ynxB7A' by 'The FAIRsharing Team' at 14:51, 05 Sep 2018 (approved):
'description' has been modified:
Before: A benchmark library for algorithm selection problems in AI, with a standard data format and tools to work with the format.
After: A benchmark library for algorithm selection problems in AI, with a standard data format and tools to work with the format. This record describes the project repository, which contains data sets retrieved from literature. However, new algorithm selection scenario can be submitted by opening a pull request in the repository. A very simple starter script is also provided to generate a ASlib scenarios from two csv files with runtime data and instance features.
'licences' has been modified:
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GNU General Public License (GPL) 3.0|https://www.gnu.org/licenses/gpl.html|Data
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GNU General Public License (GPL) 3.0|https://www.gnu.org/licenses/gpl.html|Data
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Browse Repository
Data submission via pull request
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Browse Repository
Data submission via pull request
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Computer science
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Algorithm
Computer science
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Algorithm
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Not applicable
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Scenario Check Tool (Python)||https://github.com/coseal/aslib-spec/tree/master/data_check_tool_python
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Scenario Check Tool (Python)||https://github.com/coseal/aslib-spec/tree/master/data_check_tool_python
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Publications
ASlib: A Benchmark Library for Algorithm Selection
Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Frechette, Holger Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren
Artificial Intelligence Journal 2016
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