Sep 7, 2022 · In this article, we analyze the convergence of the TM when input is non-linearly related to output by the XOR-operator. Our analysis reveals ...
Our analysis reveals that the TM, with just two conjunctive clauses, can converge almost surely to reproducing XOR, learning from training data over an ...
Sep 26, 2024 · Specifically, by analysing the OR operator, we reveal the convergence property of TMs when two sub-patterns can be jointly represented by one ...
Jan 7, 2021 · Our anal- ysis reveals that the TM, with just two conjunctive clauses, can converge almost surely to reproducing XOR, learning from training ...
In this article, we analyze the convergence of the TM when input is non-linearly related to output by the XOR-operator. Our analysis reveals that the TM, with ...
Jan 16, 2021 · The Tsetlin Machine (TM) is a recent machine learning algorithm with several distinct properties, such as interpretability, simplicity, and ...
Our analyses reveal that the TM can converge almost surely to reproduce AND and OR operators, which are learnt from training data over an infinite time horizon.
This article analyzes the convergence of the Tsetlin Machine with only one clause involved for classification, and examines two basic logical operators, ...
While previous studies analyzed its convergence properties for the 1-bit and XOR operators, this work extends the analysis to the AND and OR operators, ...
Dec 2, 2022 · Specifically, by analysing the OR operator, we reveal the convergence property of TM when two sub-patterns can be jointly represented by one ...