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Tree-based machine learning performed in-memory with memristive analog CAM
Tree-based machine learning techniques, such as Decision Trees and Random Forests, are top performers in several domains as they do well with limited training datasets and offer improved interpretability compared to Deep Neural Networks (DNN). However, these models are difficult to optimize for fast...
Autores principales: | Pedretti, Giacomo, Graves, Catherine E., Serebryakov, Sergey, Mao, Ruibin, Sheng, Xia, Foltin, Martin, Li, Can, Strachan, John Paul |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490381/ https://www.ncbi.nlm.nih.gov/pubmed/34608133 http://dx.doi.org/10.1038/s41467-021-25873-0 |
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