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Model Simplification of Deep Random Forest for Real-Time Applications of Various Sensor Data
The deep random forest (DRF) has recently gained new attention in deep learning because it has a high performance similar to that of a deep neural network (DNN) and does not rely on a backpropagation. However, it connects a large number of decision trees to multiple layers, thereby making analysis d...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8123293/ https://ncbi.nlm.nih.gov/pubmed/33922953 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21093004 |
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