Blar i AURA på forfatter "Tunheim, Svein Anders"
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Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
Abeyrathna, Kuruge Darshana; Abouzeid, Ahmed Abdulrahem Othman; Bhattarai, Bimal; Giri, Charul; Glimsdal, Sondre; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Sharma, Jivitesh; Tunheim, Svein Anders; Zhang, Xuan (Academic article, 2023)Tsetlin machine (TM) is a logic-based machine learning approach with the crucial advantages of being transparent and hardware-friendly. While TMs match or surpass deep learning accuracy for an increasing number of applications, ... -
A Convolutional Tsetlin Machine-based Field Programmable Gate Array Accelerator for Image Classification
Tunheim, Svein Anders; Lei, Jiao; Shafik, Rishad; Yakovlev, Alex; Granmo, Ole-Christoffer (Chapter, 2022)This paper presents a Field Programmable Gate Array (FPGA) implementation of an image classification accelerator based on the Convolutional Tsetlin Machine (CTM). The work is a concept design, and the solution demonstrates ... -
Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification
Tunheim, Svein Anders; Lei, Jiao; Shafik, Rishad Ahmed; Yakovlev, Alexandre; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2023)The Tsetlin Machine (TM) is a machine learning algorithm based on an ensemble of Tsetlin Automata (TAs) that learns propositional logic expressions from Boolean input features. In this paper, the design and implementation ... -
Cyclostationary Random Number Sequences for the Tsetlin Machine
Tunheim, Svein Anders; Yadav, Rohan Kumar; Lei, Jiao; Shafik, Rishad; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2022)The Tsetlin Machine (TM) constitutes an emerging machine learning algorithm that has shown competitive performance on several benchmarks. The underlying concept of the TM is propositional logic determined by a group of ...