Contracting Tsetlin Machine with Absorbing Automata
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Abstract (arXiv)
In this paper, we introduce a sparse Tsetlin Machine (TM) with absorbing Tsetlin Automata (TA) states. In brief, the TA of each clause literal has both an absorbing Exclude- and an absorbing Include state, making the learning scheme absorbing instead of ergodic. When a TA reaches an absorbing state, it will never leave that state again. If the absorbing state is an Exclude state, both the automaton and the literal can be removed from further consideration. The literal will as a result never participates in that clause. If the absorbing state is an Include state, on the other hand, the literal is stored as a permanent part of the clause while the TA is discarded. A novel sparse data structure supports these updates by means of three action lists: Absorbed Include, Include, and Exclude. By updating these lists, the TM gets smaller and smaller as the literals and their TA withdraw. In this manner, the computation accelerates during learning, leading to faster learning and less energy consumption.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 10 of its 26 references that are in the map. First posted on arXiv 17 Oct 2023.
Builds on
10 of 26 references.
References · 10
- 2018Techniques for Interpretable Machine Learningcited by 237
- 2018The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logiccited by 71
- 2019The Convolutional Tsetlin Machinecited by 37
- 2021Explainable Tsetlin Machine framework for fake news detection with credibility score assessmentcited by 23
- 2020Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scalingcited by 20
- 2020Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifiercited by 15
- 2023Tsetlin Machine Embedding: Representing Words Using Logical Expressionscited by 15
- 2023Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Sizecited by 14
- 2021Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machinescited by 10
- 2022Tsetlin Machine for Solving Contextual Bandit Problemscited by 10
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Citing papers per year: 2024: 1.
1 paper.