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Etternavn: glimsdal   Fornavn: sondre   Alle publ. kanaler

Viser treff 1-18 av 18

1 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.
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. I: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. AAAI Press 2023 ISBN 978-1-956792-03-4. s. 3395-3403
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2 Glimsdal, Sondre; Granmo, Ole-Christoffer.
A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem. Applied intelligence (Boston) 2018 ;Volum 48. s. 3735-3747
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3 Glimsdal, Sondre; Granmo, Ole-Christoffer.
A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems. I: 2014 13th International Conference on Machine Learning and Applications (ICMLA). IEEE conference proceedings 2014 ISBN 978-1-4799-7415-3. s. 594-599
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4 Glimsdal, Sondre; Granmo, Ole-Christoffer.
A Novel Bayesian Network based Scheme for Finding the Optimal Solution to Stochastic Online Equi-Partitioning Problems. ICMLA 2014; 2014-12-03 - 2014-12-06
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5 Glimsdal, Sondre; Granmo, Ole-Christoffer.
Thompson sampling based active learning in probabilistic programs with application to travel time estimation. Lecture Notes in Computer Science (LNCS) 2019 ;Volum 11606 LNAI. s. 71-78
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6 Glimsdal, Sondre; Granmo, Ole-Christoffer.
Thompson sampling guided stochastic searching on the line for adversarial learning. IFIP Advances in Information and Communication Technology 2015 ;Volum 458. s. 307-317
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7 Glimsdal, Sondre; Granmo, Ole-Christoffer.
Thompson sampling guided stochastic searching on the line for deceptive environments with applications to root-finding problems. Journal of machine learning research 2019 ;Volum 20. s. -
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8 Glimsdal, Sondre; Granmo, Ole-Christoffer.
Thompson Sampling Guided Stochastic Searching on the Line for Non-Stationary Adversarial Learning. I: 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). IEEE 2015 ISBN 978-1-5090-0287-0. s. 687-692
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9 Glimsdal, Sondre.
Towards Thompson Sampling for Complex Bayesian Reasoning. Universitetet i Agder 2020 (ISBN 978-82-7117-976-2) 169 s. Doctoral dissertations at University of Agder(275)
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10 Glimsdal, Sondre; Saha, Rupsa; Bhattarai, Bimal; Giri, Charul; Sharma, Jivitesh; Tunheim, Svein Anders; Yadav, Rohan Kumar.
Focused Negative Sampling for Increased Discriminative Power in Tsetlin Machines. I: 2022 International Symposium on the Tsetlin Machine (ISTM 2022). IEEE conference proceedings 2022 ISBN 978-1-6654-7116-9. s. 73-80
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11 Goodwin, Morten; Granmo, Ole-Christoffer; Radianti, Jaziar; Sarshar, Parvaneh; Glimsdal, Sondre.
Ant Colony Optimisation for Planning Safe Escape Routes. I: Recent Trends in Applied Artificial Intelligence. Springer 2013 ISBN 978-3-642-38576-6. s. 53-62
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12 Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Glimsdal, Sondre; Edwards, Jonathan; Goodwin, Morten.
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. I: Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices.. Springer Nature 2020 ISBN 978-3-030-55789-8. s. 695-708
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13 Granmo, Ole-Christoffer; Glimsdal, Sondre.
A Two-Armed Bandit Based Scheme for Accelerated Decentralized Learning. I: Modern Approaches in Applied Intelligence24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Syracuse, NY, USA, June 28 – July 1, 2011, Proceedings, Part II. Springer 2011 ISBN 978-3-642-21826-2. s. 532-541
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14 Granmo, Ole-Christoffer; Glimsdal, Sondre.
Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game. Applied intelligence (Boston) 2013 ;Volum 38.(4) s. 479-488
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15 Granmo, Ole-Christoffer; Glimsdal, Sondre; Lei, Jiao; Goodwin, Morten; Omlin, Christian; Berge, Geir Thore.
The Convolutional Tsetlin Machine. arXiv.org 2019
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16 Granmo, Ole-Christoffer; Radianti, Jaziar; Goodwin, Morten; Dugdale, Julie Anne; Sarshar, Parvaneh; Glimsdal, Sondre; Gonzalez, Jose J.
A Spatio-Temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning. I: Recent Trends in Applied Artificial Intelligence. Springer 2013 ISBN 978-3-642-38576-6. s. 63-72
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17 Sharma, Jivitesh; Matheussen, Bernt Viggo; Glimsdal, Sondre; Granmo, Ole-Christoffer.
Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. I: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). IEEE conference proceedings 2019 ISBN 978-1-7281-4550-1.
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18 Tollisen, Robin; Jansen, Jon Vegard; Goodwin, Morten; Glimsdal, Sondre.
AIs for dominion using monte-carlo tree search. Lecture Notes in Computer Science (LNCS) 2015 ;Volum 9101. s. 43-52
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