FAIRsharing record for: Algorithm Selection Library
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This FAIRsharing record describes: 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.
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FAIRsharing创建时间:
2018-10-29



