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Drop Clause: Enhancing Performance, Interpretability and Robustness of the Tsetlin Machine. (arXiv:2105.14506v2 [cs.LG] UPDATED)
Jan. 17, 2022, 2:10 a.m. | Jivitesh Sharma, Rohan Yadav, Ole-Christoffer Granmo, Lei Jiao
cs.LG updates on arXiv.org arxiv.org
In this article, we introduce a novel variant of the Tsetlin machine (TM)
that randomly drops clauses, the key learning elements of a TM. In effect, TM
with drop clause ignores a random selection of the clauses in each epoch,
selected according to a predefined probability. In this way, additional
stochasticity is introduced in the learning phase of TM. To explore the effects
drop clause has on accuracy, training time, interpretability and robustness, we
conduct extensive experiments on nine benchmark …
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