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Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification
The neuromuscular disorders are diagnosed using electromyographic (EMG) signals. Machine learning algorithms are employed as a decision support system to diagnose neuromuscular disorders. This paper compares bagging and boosting ensemble learning methods to classify EMG signals automatically. Even t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885261/ https://www.ncbi.nlm.nih.gov/pubmed/31828145 http://dx.doi.org/10.1155/2019/9152506 |