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Autor:
Abeyrathna, K. Darshana, Bhattarai, Bimal, Goodwin, Morten, Gorji, Saeed, Granmo, Ole-Christoffer, Jiao, Lei, Saha, Rupsa, Yadav, Rohan K.
Using logical clauses to represent patterns, Tsetlin Machines (TMs) have recently obtained competitive performance in terms of accuracy, memory footprint, energy, and learning speed on several benchmarks. Each TM clause votes for or against a particu
Externí odkaz:
http://arxiv.org/abs/2009.04861
Autor:
Gorji, Saeed Rahimi, Granmo, Ole-Christoffer, Glimsdal, Sondre, Edwards, Jonathan, Goodwin, Morten
The Tsetlin Machine (TM) is a machine learning algorithm founded on the classical Tsetlin Automaton (TA) and game theory. It further leverages frequent pattern mining and resource allocation principles to extract common patterns in the data, rather t
Externí odkaz:
http://arxiv.org/abs/2004.03188
The Tsetlin Machine (TM) is an interpretable mechanism for pattern recognition that constructs conjunctive clauses from data. The clauses capture frequent patterns with high discriminating power, providing increasing expression power with each additi
Externí odkaz:
http://arxiv.org/abs/1911.12607
The recently introduced Tsetlin Machine (TM) has provided competitive pattern recognition accuracy in several benchmarks, however, requires a 3-dimensional hyperparameter search. In this paper, we introduce the Multigranular Tsetlin Machine (MTM). Th
Externí odkaz:
http://arxiv.org/abs/1909.07310
Akademický článek
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Publikováno v:
Applied Intelligence; Apr2023, Vol. 53 Issue 8, p8596-8613, 18p
