Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation

Research article (Proceedings of the 16th ACM International Conference on Predictive Models and Data Analytics in Software Engineering, 2020) · cited 42× · AI/ML
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Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation

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Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-hyper-parameter-tuning-using-random-search-in-support-vector-machines-for-software-effort-estimation
MLA “Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-hyper-parameter-tuning-using-random-search-in-support-vector-machines-for-software-effort-estimation.
BibTeX @misc{4ortxyz_evaluating-hyper-parameter-tuning-using-random-search-in-support-vector-machines-for-software-effort-estimation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-hyper-parameter-tuning-using-random-search-in-support-vector-machines-for-software-effort-estimation}, note = {Accessed: 2026-05-24}}
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