ASlib: A benchmark library for algorithm selection

@article{Bischl2016ASlibAB,
  title={ASlib: A benchmark library for algorithm selection},
  author={B. Bischl and P. Kerschke and Lars Kotthoff and M. Lindauer and Y. Malitsky and A. Fr{\'e}chette and H. Hoos and F. Hutter and Kevin Leyton-Brown and Kevin Tierney and J. Vanschoren},
  journal={Artif. Intell.},
  year={2016},
  volume={237},
  pages={41-58}
}
The task of algorithm selection involves choosing an algorithm from a set of algorithms on a per-instance basis in order to exploit the varying performance of algorithms over a set of instances. The algorithm selection problem is attracting increasing attention from researchers and practitioners in AI. Years of fruitful applications in a number of domains have resulted in a large amount of data, but the community lacks a standard format or repository for this data. This situation makes it… Expand
126 Citations

Paper Mentions

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