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...

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Detalles Bibliográficos
Autores principales: Pedretti, Giacomo, Graves, Catherine E., Serebryakov, Sergey, Mao, Ruibin, Sheng, Xia, Foltin, Martin, Li, Can, Strachan, John Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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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