 | 2012 |
| 41 |  | Anis Yazidi,
Ole-Christoffer Granmo,
B. John Oommen:
Service selection in stochastic environments: a learning-automaton based solution.
Appl. Intell. 36(3): 617-637 (2012) |
| 2011 |
| 40 |  | Anis Yazidi,
Ole-Christoffer Granmo,
B. John Oommen:
Tracking the Preferences of Users Using Weak Estimators.
Australasian Conference on Artificial Intelligence 2011: 799-808 |
| 39 |  | Anis Yazidi,
Ole-Christoffer Granmo,
B. John Oommen:
On the analysis of a new Markov chain which has applications in AI and machine learning.
CCECE 2011: 1553-1558 |
| 38 |  | Xuan Zhang,
B. John Oommen,
Ole-Christoffer Granmo:
Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems.
EANN/AIAI (2) 2011: 122-131 |
| 37 |  | Anis Yazidi,
Ole-Christoffer Granmo,
B. John Oommen:
A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes.
HAIS (1) 2011: 11-21 |
| 36 |  | Vegard Haugland,
Marius Kjølleberg,
Svein-Erik Larsen,
Ole-Christoffer Granmo:
A Two-Armed Bandit Collective for Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection.
ICCCI (1) 2011: 72-81 |
| 35 |  | Xuan Zhang,
Ole-Christoffer Granmo,
B. John Oommen:
The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata.
IEA/AIE (2) 2011: 522-531 |
| 34 |  | Ole-Christoffer Granmo,
Sondre Glimsdal:
A Two-Armed Bandit Based Scheme for Accelerated Decentralized Learning.
IEA/AIE (2) 2011: 532-541 |
| 33 |  | Ole-Christoffer Granmo,
B. John Oommen:
Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem.
Eng. Appl. of AI 24(7): 1238-1251 (2011) |
| 2010 |
| 32 |  | Thomas Norheim,
Terje Brådland,
Ole-Christoffer Granmo,
B. John Oommen:
A Generic Solution to Multi-Armed Bernoulli Bandit Problems based on Random Sampling from Sibling Conjugate Priors.
ICAART (1) 2010: 36-44 |
| 31 |  | Ole-Christoffer Granmo,
Noureddine Bouhmala:
Enhancing Local-search based SAT Solvers with Learning Capability.
ICAART (1) 2010: 515-521 |
| 30 |  | Ole-Christoffer Granmo,
Stian Berg:
Solving Non-Stationary Bandit Problems by Random Sampling from Sibling Kalman Filters.
IEA/AIE (3) 2010: 199-208 |
| 29 |  | Anis Yazidi,
Ole-Christoffer Granmo,
B. John Oommen:
A Learning Automata Based Solution to Service Selection in Stochastic Environments.
IEA/AIE (3) 2010: 209-218 |
| 28 |  | Anis Yazidi,
Ole-Christoffer Granmo,
Min Lin,
Xifeng Wen,
B. John Oommen,
Martin Gerdes,
Frank Reichert:
Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns.
PRICAI 2010: 327-338 |
| 27 |  | Aleksander Stensby,
B. John Oommen,
Ole-Christoffer Granmo:
Language Detection and Tracking in Multilingual Documents Using Weak Estimators.
SSPR/SPR 2010: 600-609 |
| 26 |  | Ole-Christoffer Granmo,
B. John Oommen:
Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem.
Appl. Intell. 33(1): 3-20 (2010) |
| 25 |  | Noureddine Bouhmala,
Ole-Christoffer Granmo:
Combining finite learning automata with GSAT for the satisfiability problem.
Eng. Appl. of AI 23(5): 715-726 (2010) |
| 24 |  | Ole-Christoffer Granmo,
B. John Oommen:
Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata.
IEEE Trans. Computers 59(4): 545-560 (2010) |
| 23 |  | Noureddine Bouhmala,
Ole-Christoffer Granmo:
Stochastic Learning for SAT- Encoded Graph Coloring Problems.
Int. J. of Applied Metaheuristic Computing 1(3): 1-19 (2010) |
| 2009 |
| 22 |  | Ole-Christoffer Granmo,
B. John Oommen:
A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling.
IEA/AIE 2009: 523-534 |
| 21 |  | Ole-Christoffer Granmo,
B. John Oommen:
Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems.
Intelligent Systems for Knowledge Management 2009: 1-30 |
| 2008 |
| 20 |  | Noureddine Bouhmala,
Ole-Christoffer Granmo:
Solving Graph Coloring Problems Using Learning Automata.
EvoCOP 2008: 277-288 |
| 19 |  | Ole-Christoffer Granmo:
A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems.
ICMLA 2008: 23-30 |
| 18 |  | Ole-Christoffer Granmo,
B. John Oommen:
A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Web Polling.
IEA/AIE 2008: 347-358 |
| 17 |  | B. John Oommen,
Sang-Woon Kim,
M. T. Samuel,
Ole-Christoffer Granmo:
A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(2): 466-476 (2008) |
| 2007 |
| 16 |  | Ole-Christoffer Granmo,
B. John Oommen:
On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems.
Australian Conference on Artificial Intelligence 2007: 36-47 |
| 15 |  | B. John Oommen,
Ole-Christoffer Granmo,
Asle Pedersen:
Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications.
CIG 2007: 161-167 |
| 14 |  | B. John Oommen,
Sang-Woon Kim,
Mathew Samuel,
Ole-Christoffer Granmo:
Stochastic Point Location in Non-stationary Environments and Its Applications.
IEA/AIE 2007: 845-854 |
| 13 |  | B. John Oommen,
Sudip Misra,
Ole-Christoffer Granmo:
Routing Bandwidth-Guaranteed Paths in MPLS Traffic Engineering: A Multiple Race Track Learning Approach.
IEEE Trans. Computers 56(7): 959-976 (2007) |
| 12 |  | Ole-Christoffer Granmo,
B. John Oommen,
Svein Arild Myrer,
Morten Goodwin Olsen:
Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(1): 166-175 (2007) |
| 11 |  | Ole-Christoffer Granmo,
Noureddine Bouhmala:
Solving the Satisfiability Problem Using Finite Learning Automata.
IJCSA 4(3): 15-29 (2007) |
| 2006 |
| 10 |  | B. John Oommen,
Ole-Christoffer Granmo,
Asle Pedersen:
Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games.
Australian Conference on Artificial Intelligence 2006: 1252-1258 |
| 9 |  | B. John Oommen,
Sudip Misra,
Ole-Christoffer Granmo:
A Stochastic Random-Races Algorithm for Routing in MPLS Traffic Engineering.
INFOCOM 2006 |
| 8 |  | Viktor S. Wold Eide,
Ole-Christoffer Granmo,
Frank Eliassen,
Jørgen Andreas Michaelsen:
Real-time video content analysis: QoS-aware application composition and parallel processing.
TOMCCAP 2(2): 149-172 (2006) |
| 2004 |
| 7 |  | Ole-Christoffer Granmo:
Parallel hypothesis driven video content analysis.
SAC 2004: 642-648 |
| 2003 |
| 6 |  | Viktor S. Wold Eide,
Frank Eliassen,
Ole-Christoffer Granmo,
Olav Lysne:
Supporting timeliness and accuracy in distributed real-time content-based video analysis.
ACM Multimedia 2003: 21-32 |
| 5 |  | Ole-Christoffer Granmo,
Frank Eliassen,
Olav Lysne,
Viktor S. Wold Eide:
Techniques for Parallel Execution of the Particle Filter.
SCIA 2003: 983-990 |
| 2002 |
| 4 |  | Viktor S. Wold Eide,
Frank Eliassen,
Olav Lysne,
Ole-Christoffer Granmo:
Real-Time Processing of Media Streams: A Case for Event-Based Interaction.
ICDCS Workshops 2002: 555-562 |
| 3 |  | Viktor S. Wold Eide,
Frank Eliassen,
Ole-Christoffer Granmo,
Olav Lysne:
Scalable Independent Multi-level Distribution in Multimedia Content Analysis.
IDMS/PROMS 2002: 37-48 |
| 2 |  | Ole-Christoffer Granmo,
Finn Verner Jensen:
Real-time Hypothesis Driven Feature Extraction on Parallel Processing Architectures.
PDPTA 2002: 727-733 |
| 1 |  | Ole-Christoffer Granmo:
Automatic Resource-aware Construction of Media Indexing Applications for Distributed Processing Environments.
PRIS 2002: 124-139 |