Ole-Christoffer Granmo

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2011
28Tracking the Preferences of Users Using Weak Estimators. Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen. Australasian Conference on Artificial Intelligence 2011, 799-808. Web SearchBibTeXDownload
27On the analysis of a new Markov chain which has applications in AI and machine learning. Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen. CCECE 2011, 1553-1558. Web SearchBibTeXDownload
26Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems. Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo. EANN/AIAI (2) 2011, 122-131. Web SearchBibTeXDownload
25Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem. Ole-Christoffer Granmo, B. John Oommen. Eng. Appl. of AI (24): 1238-1251 (2011). Web SearchBibTeXDownload
24A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes. Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen. HAIS (1) 2011, 11-21. Web SearchBibTeXDownload
23The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata. Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen. IEA/AIE (2) 2011, 522-531. Web SearchBibTeXDownload
2010
22Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem. Ole-Christoffer Granmo, B. John Oommen. Appl. Intell. (33): 3-20 (2010). Web SearchBibTeXDownload
21A Generic Solution to Multi-Armed Bernoulli Bandit Problems based on Random Sampling from Sibling Conjugate Priors. Thomas Norheim, Terje Brådland, Ole-Christoffer Granmo, B. John Oommen. ICAART (1) 2010, 36-44. Web SearchBibTeX
20A Learning Automata Based Solution to Service Selection in Stochastic Environments. Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen. IEA/AIE (3) 2010, 209-218. Web SearchBibTeXDownload
19Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata. Ole-Christoffer Granmo, B. John Oommen. IEEE Trans. Computers (59): 545-560 (2010). Web SearchBibTeXDownload
18Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns. Anis Yazidi, Ole-Christoffer Granmo, Min Lin, Xifeng Wen, B. John Oommen, Martin Gerdes, Frank Reichert. PRICAI 2010, 327-338. Web SearchBibTeXDownload
17Language Detection and Tracking in Multilingual Documents Using Weak Estimators. Aleksander Stensby, B. John Oommen, Ole-Christoffer Granmo. SSPR/SPR 2010, 600-609. Web SearchBibTeXDownload
2009
16A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling. Ole-Christoffer Granmo, B. John Oommen. IEA/AIE 2009, 523-534. Web SearchBibTeXDownload
15Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems. Ole-Christoffer Granmo, B. John Oommen. Intelligent Systems for Knowledge Management 2009, 1-30. Web SearchBibTeXDownload
2008
14A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Web Polling. Ole-Christoffer Granmo, B. John Oommen. IEA/AIE 2008, 347-358. Web SearchBibTeXDownload
13A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments. B. John Oommen, Sang-Woon Kim, M. T. Samuel, Ole-Christoffer Granmo. IEEE Transactions on Systems, Man, and Cybernetics, Part B (38): 466-476 (2008). Web SearchBibTeXDownload
2007
12On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems. Ole-Christoffer Granmo, B. John Oommen. Australian Conference on Artificial Intelligence 2007, 36-47. Web SearchBibTeXDownload
11Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications. B. John Oommen, Ole-Christoffer Granmo, Asle Pedersen. CIG 2007, 161-167. Web SearchBibTeXDownload
10Stochastic Point Location in Non-stationary Environments and Its Applications. B. John Oommen, Sang-Woon Kim, Mathew Samuel, Ole-Christoffer Granmo. IEA/AIE 2007, 845-854. Web SearchBibTeXDownload
9Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation. Ole-Christoffer Granmo, B. John Oommen, Svein Arild Myrer, Morten Goodwin Olsen. IEEE Transactions on Systems, Man, and Cybernetics, Part B (37): 166-175 (2007). Web SearchBibTeXDownload
8Routing Bandwidth-Guaranteed Paths in MPLS Traffic Engineering: A Multiple Race Track Learning Approach. B. John Oommen, Sudip Misra, Ole-Christoffer Granmo. IEEE Trans. Computers (56): 959-976 (2007). Web SearchBibTeXDownload
2006
7Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games. B. John Oommen, Ole-Christoffer Granmo, Asle Pedersen. Australian Conference on Artificial Intelligence 2006, 1252-1258. Web SearchBibTeXDownload
6A Stochastic Random-Races Algorithm for Routing in MPLS Traffic Engineering. B. John Oommen, Sudip Misra, Ole-Christoffer Granmo. INFOCOM 2006. Web SearchBibTeXDownload
5Real-time video content analysis: QoS-aware application composition and parallel processing. Viktor S. Wold Eide, Ole-Christoffer Granmo, Frank Eliassen, Jørgen Andreas Michaelsen. TOMCCAP (2): 149-172 (2006). Web SearchBibTeXDownload
2003
4Supporting timeliness and accuracy in distributed real-time content-based video analysis. Viktor S. Wold Eide, Frank Eliassen, Ole-Christoffer Granmo, Olav Lysne. ACM Multimedia 2003, 21-32. Web SearchBibTeXDownload
3Techniques for Parallel Execution of the Particle Filter. Ole-Christoffer Granmo, Frank Eliassen, Olav Lysne, Viktor S. Wold Eide. SCIA 2003, 983-990. Web SearchBibTeXDownload
2002
2Real-Time Processing of Media Streams: A Case for Event-Based Interaction. Viktor S. Wold Eide, Frank Eliassen, Olav Lysne, Ole-Christoffer Granmo. ICDCS Workshops 2002, 555-562. Web SearchBibTeXDownload
1Scalable Independent Multi-level Distribution in Multimedia Content Analysis. Viktor S. Wold Eide, Frank Eliassen, Ole-Christoffer Granmo, Olav Lysne. IDMS/PROMS 2002, 37-48. Web SearchBibTeXDownload
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