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08/30/2023
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric
Detecting visually similar images is a particularly useful attribute to ...
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03/25/2023
Verifying Properties of Tsetlin Machines
Tsetlin Machines (TsMs) are a promising and interpretable machine learni...
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01/19/2023
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
Tsetlin machine (TM) is a logic-based machine learning approach with the...
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01/02/2023
Tsetlin Machine Embedding: Representing Words Using Logical Expressions
Embedding words in vector space is a fundamental first step in state-of-...
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12/27/2022
On the Equivalence of the Weighted Tsetlin Machine and the Perceptron
Tsetlin Machine (TM) has been gaining popularity as an inherently interp...
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12/20/2022
A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems
Recommendation Systems (RSs) are ubiquitous in modern society and are on...
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02/04/2022
Tsetlin Machine for Solving Contextual Bandit Problems
This paper introduces an interpretable contextual bandit algorithm using...
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05/30/2021
Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause
In this article, we introduce a novel variant of the Tsetlin machine (TM...
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08/28/2019
Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks
In this paper, we propose a model for the Environment Sound Classificati...
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05/23/2019
