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Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling

Research article (2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020) · cited 17× · AI/ML
academia openalex:W3042373478
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Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling

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Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-cost-effective-sampling-strategies-for-empirical-performance-modeling
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BibTeX @misc{4ortxyz_learning-cost-effective-sampling-strategies-for-empirical-performance-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling}}, year = {2026}, url = {https://4ort.xyz/entity/learning-cost-effective-sampling-strategies-for-empirical-performance-modeling}, note = {Accessed: 2026-05-24}}
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