Ole-Christoffer Granmo
Ole-Christoffer Granmo
Verifisert e-postadresse på uia.no - Startside
Sitert av
Sitert av
Learning automata-based solutions to the nonlinear fractional knapsack problem with applications to optimal resource allocation
OC Granmo, BJ Oommen, SA Myrer, MG Olsen
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007
Solving two‐armed Bernoulli bandit problems using a Bayesian learning automaton
OC Granmo
International Journal of Intelligent Computing and Cybernetics, 2010
Deep convolutional neural networks for fire detection in images
J Sharma, OC Granmo, M Goodwin, JT Fidje
International conference on engineering applications of neural networks, 183-193, 2017
Thompson sampling for dynamic multi-armed bandits
N Gupta, OC Granmo, A Agrawala
2011 10th International Conference on Machine Learning and Applications and …, 2011
The Tsetlin Machine--A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic
OC Granmo
arXiv preprint arXiv:1804.01508, 2018
Solving stochastic nonlinear resource allocation problems using a hierarchy of twofold resource allocation automata
OC Granmo, BJ Oommen
IEEE Transactions on Computers 59 (4), 545-560, 2010
Routing Bandwidth-Guaranteed paths in MPLS traffic engineering: A multiple race track learning approach
BJ Oommen, S Misra, OC Granmo
IEEE Transactions on Computers 56 (7), 959-976, 2007
Service selection in stochastic environments: a learning-automaton based solution
A Yazidi, OC Granmo, BJ Oommen
Applied Intelligence 36 (3), 617-637, 2012
Using the Tsetlin machine to learn human-interpretable rules for high-accuracy text categorization with medical applications
GT Berge, OC Granmo, TO Tveit, M Goodwin, L Jiao, BV Matheussen
IEEE Access 7, 115134-115146, 2019
Crowd models for emergency evacuation: A review targeting human-centered sensing
J Radianti, OC Granmo, N Bouhmala, P Sarshar, A Yazidi, J Gonzalez
2013 46th Hawaii international conference on system sciences, 156-165, 2013
Solving non-stationary bandit problems by random sampling from sibling kalman filters
OC Granmo, S Berg
International Conference on Industrial, Engineering and Other Applications …, 2010
Deep RTS: a game environment for deep reinforcement learning in real-time strategy games
PA Andersen, M Goodwin, OC Granmo
2018 IEEE conference on computational intelligence and games (CIG), 1-8, 2018
Solving the Satisfiability Problem Using Finite Learning Automata.
OC Granmo, N Bouhmala
Int. J. Comput. Sci. Appl. 4 (3), 15-29, 2007
Supporting timeliness and accuracy in distributed real-time content-based video analysis
VS Wold Eide, F Eliassen, OC Granmo, O Lysne
Proceedings of the eleventh ACM international conference on Multimedia, 21-32, 2003
A Bayesian learning automaton for solving two-armed Bernoulli bandit problems
OC Granmo
2008 Seventh International Conference on Machine Learning and Applications …, 2008
A spatio-temporal probabilistic model of hazard-and crowd dynamics for evacuation planning in disasters
J Radianti, OC Granmo, P Sarshar, M Goodwin, J Dugdale, JJ Gonzalez
Applied Intelligence 42 (1), 3-23, 2015
A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme
A Yazidi, OC Granmo, BJ Oommen, M Goodwin
IEEE transactions on cybernetics 44 (11), 2202-2220, 2014
The convolutional Tsetlin machine
OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge
arXiv preprint arXiv:1905.09688, 2019
Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore game
OC Granmo, S Glimsdal
Applied intelligence 38 (4), 479-488, 2013
On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata
X Zhang, OC Granmo, BJ Oommen
Applied intelligence 39 (4), 782-792, 2013
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