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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123293/ https://www.ncbi.nlm.nih.gov/pubmed/33922953 http://dx.doi.org/10.3390/s21093004 |