Nalaganje...
Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination
Using machine-learning methodologies to analyze EEG signals becomes increasingly attractive for recognizing human emotions because of the objectivity of physiological data and the capability of the learning principles on modeling emotion classifiers from heterogeneous features. However, the conventi...
Shranjeno v:
| izdano v: | Front Neurorobot |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Frontiers Media S.A.
2017
|
| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5385370/ https://ncbi.nlm.nih.gov/pubmed/28443015 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2017.00019 |
| Oznake: |
Označite
Brez oznak, prvi označite!
|