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Semi-supervised active learning algorithm for SVMs based on QBC and tri-training

Research article (Journal of Ambient Intelligence and Humanized Computing, 2020) · cited 13× · AI/ML
academia openalex:W3108090463
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Semi-supervised active learning algorithm for SVMs based on QBC and tri-training

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Semi-supervised active learning algorithm for SVMs based on QBC and tri-training is a scholarly article[1].

Key Facts

  • Semi-supervised active learning algorithm for SVMs based on QBC and tri-training's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Semi-supervised active learning algorithm for SVMs based on QBC and tri-training. Retrieved May 24, 2026, from https://4ort.xyz/entity/semi-supervised-active-learning-algorithm-for-svms-based-on-qbc-and-tri-training
MLA “Semi-supervised active learning algorithm for SVMs based on QBC and tri-training.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/semi-supervised-active-learning-algorithm-for-svms-based-on-qbc-and-tri-training.
BibTeX @misc{4ortxyz_semi-supervised-active-learning-algorithm-for-svms-based-on-qbc-and-tri-training_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Semi-supervised active learning algorithm for SVMs based on QBC and tri-training}}, year = {2026}, url = {https://4ort.xyz/entity/semi-supervised-active-learning-algorithm-for-svms-based-on-qbc-and-tri-training}, note = {Accessed: 2026-05-24}}
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