Browsing AURA by Author "Abeyrathna, Kuruge Darshana"
Now showing items 1-7 of 7
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Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
Kick Detection and Influx Size Estimation during Offshore Drilling Operations using Deep Learning
Fjetland, Andreas Kvalbein; Zhou, Jing; Abeyrathna, Kuruge Darshana; Gravdal, Jan Einar (Journal article; Peer reviewed, 2019) -
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Abeyrathna, Kuruge Darshana; Bhattarai, Bimal; Goodwin, Morten; Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Yadav, Rohan Kumar (Peer reviewed; Journal article, 2021)Using logical clauses to represent patterns, Tsetlin Machine (TM) have recently obtained competitive performance in terms of accuracy, memory footprint, energy, and learning speed on several benchmarks. Each TM clause votes ... -
A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Shafik, Rishad; Lei, Jiao; Wheeldon, Adrian; Yakovlev, Alex; Lei, Jie; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
On the Convergence of Tsetlin Machines for the XOR Operator
Lei, Jiao; Zhang, Xuan; Granmo, Ole-Christoffer; Abeyrathna, Kuruge Darshana (Peer reviewed; Journal article, 2022)The Tsetlin Machine (TM) is a novel machine learning algorithm with several distinct properties, including transparent inference and learning using hardware-near building blocks. Although numerous papers explore the TM ... -
The regression Tsetlin machine: a novel approach to interpretable nonlinear regression
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Lei, Jiao; Goodwin, Morten (Peer reviewed; Journal article, 2019)