Super-Tsetlin: Superconducting Tsetlin Machines
Author:
Affiliation:
1. Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
2. Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Funder
Department of Energy Office of Advanced Scientific Computing Research
Kavli Institute for Fundamental Neuroscience at the University of California, San Francisco
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
https://ieeexplore.ieee.org/ielam/77/10339679/10480350-aam.pdf
Reference29 articles.
1. The Tsetlin machineA game theoretic bandit driven approach to optimal pattern recognition with propositional logic;Granmo,2018
2. The convolutional Tsetlin machine;Granmo,2019
3. Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression
4. Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification
5. Closed-form expressions for global and local interpretation of Tsetlin machines with applications to explaining high-dimensional data;Blakely,2020
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