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Generating Bayesian Network Models from Data Using Tsetlin Machines
Bayesian networks (BN) are directed acyclic graphical (DAG) models that have been adopted into many fields for their strengths in transparency, interpretability, probabilistic reasoning, and causal modeling.
Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine
Hex is a turn-based two-player connection game with a high branching factor, making the game arbitrarily complex with increasing board sizes.
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data
Additionally, the expressions capture the most important features of the model overall (global interpretability).
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