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Efficient sleep classification based on entropy features and a support vector machine classifier

Research article (Physiological Measurement, 2018) · cited 20× · AI/ML
academia openalex:W2897205167
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Efficient sleep classification based on entropy features and a support vector machine classifier

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Efficient sleep classification based on entropy features and a support vector machine classifier is a scholarly article[1].

Key Facts

  • Efficient sleep classification based on entropy features and a support vector machine classifier's instance of is recorded as scholarly article[2].

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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). Efficient sleep classification based on entropy features and a support vector machine classifier. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-sleep-classification-based-on-entropy-features-and-a-support-vector-machine-classifier
MLA “Efficient sleep classification based on entropy features and a support vector machine classifier.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-sleep-classification-based-on-entropy-features-and-a-support-vector-machine-classifier.
BibTeX @misc{4ortxyz_efficient-sleep-classification-based-on-entropy-features-and-a-support-vector-machine-classifier_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient sleep classification based on entropy features and a support vector machine classifier}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-sleep-classification-based-on-entropy-features-and-a-support-vector-machine-classifier}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient sleep classification based on entropy features and a support vector machine classifier — https://4ort.xyz/entity/efficient-sleep-classification-based-on-entropy-features-and-a-support-vector-machine-classifier (retrieved 2026-05-24)

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