Active learning for electrodermal activity classification
To filter noise or detect features within physiological signals, it is often effective to encode expert knowledge into a model such as a machine learning classifier. However, training such a model can require much effort on the part of the researcher; this often takes the form of manually labeling p...
| Main Authors: | , , , , |
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| Other Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2017-05-26T19:27:35Z.
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| Subjects: | |
| Online Access: | Get fulltext |