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Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods
In the field of Cyber-Physical Systems (CPS), there is a large number of machine learning methods, and their intrinsic hyper-parameters are hugely varied. Since no agreed-on datasets for CPS exist, developers of new algorithms are forced to define their own benchmarks. This leads to a large number o...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8037210/ https://ncbi.nlm.nih.gov/pubmed/33808459 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21072397 |
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