ASlib: A benchmark library for algorithm selection

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...

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Vydané v:	Artificial intelligence Ročník 237; s. 41 - 58
Hlavní autori:	Bischl, Bernd, Kerschke, Pascal, Kotthoff, Lars, Lindauer, Marius, Malitsky, Yuri, Fréchette, Alexandre, Hoos, Holger, Hutter, Frank, Leyton-Brown, Kevin, Tierney, Kevin, Vanschoren, Joaquin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2016
Predmet:	Algorithm selection Algorithms Artificial intelligence Communities Construction Empirical performance estimation Expert systems Format Machine learning Repositories Tasks Algorithm selection Empirical performance estimation Machine learning
ISSN:	0004-3702, 1872-7921
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