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The real-valued weighting of clauses allows one clause to replace multiple and supports fine-tuning the impact of each clause. The Weighted Tsetlin Machine (WTM) achieves the same accuracy as the vanilla Tsetlin Machine (TM) on MNIST, IMDb, and Connect-4, requiring only 1/4, 1/3, and 1/50 of the clauses, respectively. With the same number of clauses, the WTM outperforms the TM, obtaining peak test accuracies of respectively 98. 58%, 90.15%, and 87.49%. The demos also include FashionMNIST with weighted convolution: https://github.com/cair/pyTsetlinMachine, https://arxiv.org/abs/1911.12607 submitted by /u/olegranmo |