4 citations · 7 across the 8 of their papers we have counts for
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cs.LG2026
A Real-Time Tsetlin Machine-based Non-intrusive Load Monitoring System on MCUs
Han Wu, Tianhang Tan, Shengyu Duan +3
Non-Intrusive Load Monitoring (NILM) systems estimate individual appliance energy consumption from a single aggregate meter, without requiring separate sensors for each device. By…
cs.LG2023★ 1 cited
An FPGA Architecture for Online Learning using the Tsetlin Machine
Samuel Prescott, Adrian Wheeldon, Rishad Shafik +3
There is a need for machine learning models to evolve in unsupervised circumstances. New classifications may be introduced, unexpected faults may occur, or the initial dataset may…