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A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams
The recent explosive growth in the number of smart technologies relying on data collected from sensors and processed with machine learning classifiers made the training data imbalance problem more visible than ever before. Class-imbalanced sets used to train models of various events of interest are...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540530/ https://www.ncbi.nlm.nih.gov/pubmed/34696105 http://dx.doi.org/10.3390/s21206892 |