Semi-supervised LIBS quantitative analysis method based on co-training regression model with selection of effective unlabeled samples

Research article (Plasma Science and Technology, 2018) · cited 17× · AI/ML
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Semi-supervised LIBS quantitative analysis method based on co-training regression model with selection of effective unlabeled samples

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Semi-supervised LIBS quantitative analysis method based on co-training regression model with selection of effective unlabeled samples is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Semi-supervised LIBS quantitative analysis method based on co-training regression model with selection of effective unlabeled samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/semi-supervised-libs-quantitative-analysis-method-based-on-co-training-regression-model-with-selection-of-effective-unla
MLA “Semi-supervised LIBS quantitative analysis method based on co-training regression model with selection of effective unlabeled samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/semi-supervised-libs-quantitative-analysis-method-based-on-co-training-regression-model-with-selection-of-effective-unla.
BibTeX @misc{4ortxyz_semi-supervised-libs-quantitative-analysis-method-based-on-co-training-regression-model-with-selection-of-effective-unla_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Semi-supervised LIBS quantitative analysis method based on co-training regression model with selection of effective unlabeled samples}}, year = {2026}, url = {https://4ort.xyz/entity/semi-supervised-libs-quantitative-analysis-method-based-on-co-training-regression-model-with-selection-of-effective-unla}, note = {Accessed: 2026-05-24}}
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