E-LIB Suche - Ergebnisse für: Granmo, Ole-Christoffer

1

Towards misinformation mitigation on social media: novel us..:

Abouzeid, Ahmed ; Granmo, Ole-Christoffer ; Goodwin, Morten.
Journal of Computational Social Science. , 2024

Link: https://doi.org/10.1007/..

2

Towards safe and sustainable reinforcement learning for rea..:

Andersen, Per-Arne ; Goodwin, Morten ; Granmo, Ole-Christoffer
Information Sciences. 679 (2024) - p. 120980 , 2024

Link: https://doi.org/10.1016/..

3

Tsetlin Machine in DNA sequence classification : Applicatio..:

, In: 2023 International Symposium on the Tsetlin Machine (ISTM),

Liland, Kristian Hovde ; Tomic, Oliver ; Indahl, Ulf Geir... - p. 1-7 , 2023

Link: https://doi.org/10.1109/..

4

An Interpretable Knowledge Representation Framework for Nat..:

, In: Lecture Notes in Computer Science; Advances in Information Retrieval,

Bhattarai, Bimal ; Granmo, Ole-Christoffer ; Jiao, Lei - p. 167-181 , 2023

Link: https://doi.org/10.1007/..

5

Contracting Tsetlin Machine with Absorbing Automata:

, In: 2023 International Symposium on the Tsetlin Machine (ISTM),

Bhattarai, Bimal ; Granmo, Ole-Christoffer ; Jiao, Lei... - p. 1-7 , 2023

Link: https://doi.org/10.1109/..

6

Transfer Learning Through Knowledge-Infused Representations..:

, In: IFIP Advances in Information and Communication Technology; Artificial Intelligence Applications and Innovations,

Biermann, Daniel ; Goodwin, Morten ; Granmo, Ole-Christoffer - p. 569-578 , 2023

Link: https://doi.org/10.1007/..

7

Natural Language Modeling with the Tsetlin Machine:

, In: Advances and Trends in Artificial Intelligence. Theory and Applications; Lecture Notes in Computer Science,

Rahimi Gorji, Saeed ; Granmo, Ole-Christoffer ; Goodwin, Morten - p. 141-150 , 2023

Link: https://doi.org/10.1007/..

8

Systematic Search for Optimal Hyper-parameters of the Tsetl..:

, In: 2023 International Symposium on the Tsetlin Machine (ISTM),

Tarasyuk, Olga ; Rahman, Tousif ; Shafik, Rishad... - p. 1-8 , 2023

Link: https://doi.org/10.1109/..

9

Exploring the Potential of Model-Free Reinforcement Learnin..:

, In: 2023 International Symposium on the Tsetlin Machine (ISTM),

Drosdal, Didrik K. ; Grimsmo, Andreas ; Andersen, Per-Arne.. - p. 1-8 , 2023

Link: https://doi.org/10.1109/..

10

Model Export for the Convolutional Coalesced Tsetlin Machin:

, In: 2023 International Symposium on the Tsetlin Machine (ISTM),

Tunheim, Svein Anders ; Jiao, Lei ; Granmo, Ole-Christoffer - p. 1-4 , 2023

Link: https://doi.org/10.1109/..

11

Extension of Regression Tsetlin Machine for Interpretable U..:

, In: Rules and Reasoning; Lecture Notes in Computer Science,

Abeyrathna, K. Darshana ; El Mekkaoui, Sara ; Edward, L. Yi.. - p. 19-33 , 2023

Link: https://doi.org/10.1007/..

12

Convolutional Tsetlin Machine-based Training and Inference ..:

Tunheim, Svein Anders ; Jiao, Lei ; Shafik, Rishad..
Microprocessors and Microsystems. 103 (2023) - p. 104949 , 2023

Link: https://doi.org/10.1016/..

13

Combining unsupervised, supervised and rule-based learning:..:

Berge, Geir Thore ; Granmo, Ole-Christoffer ; Tveit, Tor Oddbjørn..
BMC Medical Informatics and Decision Making. 23 (2023) 1 - p. , 2023

Link: https://doi.org/10.1186/..

14

On the Convergence of Tsetlin Machines for the XOR Operator:

Jiao, Lei ; Zhang, Xuan ; Granmo, Ole-Christoffer.
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45 (2023) 5 - p. 6072-6085 , 2023

Link: https://doi.org/10.1109/..

15

Verifying Properties of Tsetlin Machines:

, In: 2023 International Symposium on the Tsetlin Machine (ISTM),

Przybysz, Emilia ; Bhattarai, Bimal ; Persia, Cosimo... - p. 1-8 , 2023

Link: https://doi.org/10.1109/..