Impact of Memory Control on Batch Learning in Human Activity Recognition Scenario in Comparison to Data Stream Learning-Reference-Cited by-同舟云学术

Impact of Memory Control on Batch Learning in Human Activity Recognition Scenario in Comparison to Data Stream Learning

Published:2020 Issue: Volume: Page:145-157
ISSN:0302-9743
Container-title:Advances in Soft Computing
language:
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Author:

Miranda Leandro^ORCID,Viterbo José^ORCID,Bernardini Flávia^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-60884-2_11

Reference35 articles.

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3. Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: A public domain dataset for human activity recognition using smartphones. In: ESANN (2013)

4. Asghari, P., Soleimani, E., Nazerfard, E.: Online human activity recognition employing hierarchical hidden markov models. J. Ambient Intell. Humaniz. Comput. 11(3), 1141–1152 (2020)

5. Bifet, A., Gavalda, R., Holmes, G., Pfahringer, B.: Machine Learning for Data Streams with Practical Examples in MOA. MIT Press, Cambridge (2018)

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