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Speeding up algorithm selection using average ranking and active testing by introducing runtime

Research article (Machine Learning, 2017) · cited 50× · AI/ML
academia openalex:W2768408766
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Speeding up algorithm selection using average ranking and active testing by introducing runtime

Summary

Speeding up algorithm selection using average ranking and active testing by introducing runtime is a scholarly article[1].

Key Facts

  • Speeding up algorithm selection using average ranking and active testing by introducing runtime's instance of is recorded as scholarly article[2].

Related Entities

Pavel Brazdil

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Speeding up algorithm selection using average ranking and active testing by introducing runtime. Retrieved May 24, 2026, from https://4ort.xyz/entity/speeding-up-algorithm-selection-using-average-ranking-and-active-testing-by-introducing-runtime
MLA “Speeding up algorithm selection using average ranking and active testing by introducing runtime.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/speeding-up-algorithm-selection-using-average-ranking-and-active-testing-by-introducing-runtime.
BibTeX @misc{4ortxyz_speeding-up-algorithm-selection-using-average-ranking-and-active-testing-by-introducing-runtime_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Speeding up algorithm selection using average ranking and active testing by introducing runtime}}, year = {2026}, url = {https://4ort.xyz/entity/speeding-up-algorithm-selection-using-average-ranking-and-active-testing-by-introducing-runtime}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Speeding up algorithm selection using average ranking and active testing by introducing runtime — https://4ort.xyz/entity/speeding-up-algorithm-selection-using-average-ranking-and-active-testing-by-introducing-runtime (retrieved 2026-05-24)

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