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Ole J. Mengshoel
2010 – today
- 2013
[j14]Severino F. Galán, Ole J. Mengshoel, Rafael Pinter: A Novel Mating Approach for Genetic Algorithms. Evolutionary Computation 21(2): 197-229 (2013)
[c19]
[e1]Russell Almond, Ole J. Mengshoel (Eds.): Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, Temporal and Network Data, Bellvue, Washington, USA. CEUR Workshop Proceedings 1024, CEUR-WS.org 2013- 2012
[j13]Noa Agmon, Vikas Agrawal, David W. Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher W. Geib, Floriana Grasso, Nancy Green, Benjamin Johnston, Burt Kaliski, Christopher Kiekintveld, Edith Law, Henry Lieberman, Ole J. Mengshoel, Ted Metzler, Joseph Modayil, Douglas W. Oard, Nilufer Onder, Barry O'Sullivan, Katerina Pastra, Doina Precup, Sowmya Ramachandran, Chris Reed, Sanem Sariel Talay, Ted Selker, Lokendra Shastri, Stephen F. Smith, Satinder P. Singh, Siddharth Srivastava, Gita Sukthankar, David C. Uthus, Mary-Anne Williams: Reports of the AAAI 2011 Conference Workshops. AI Magazine 33(1) (2012)
[j12]Avneesh Singh Saluja, Priya Krishnan Sundararajan, Ole J. Mengshoel: Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks. Journal of Machine Learning Research - Proceedings Track 22: 984-992 (2012)
[c18]Aniruddha Basak, Irina Brinster, Xianheng Ma, Ole J. Mengshoel: Accelerating Bayesian network parameter learning using Hadoop and MapReduce. BigMine 2012: 101-108
[c17]Ole J. Mengshoel, Abe Ishihara, Erik Reed: Reactive Bayesian Network Computation using Feedback Control: An Empirical Study. BMA 2012: 44-54
[i1]Lu Zheng, Ole J. Mengshoel, Jike Chong: Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization. CoRR abs/1202.3777 (2012)- 2011
[j11]Ole J. Mengshoel, Dan Roth, David C. Wilkins: Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks. J. Autom. Reasoning 46(2): 103-160 (2011)
[j10]Ole J. Mengshoel, David C. Wilkins, Dan Roth: Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks. IEEE Trans. Knowl. Data Eng. 23(2): 235-247 (2011)
[c16]Michele Cossalter, Ole J. Mengshoel, Ted Selker: Visualizing and Understanding Large-Scale Bayesian Networks. Scalable Integration of Analytics and Visualization 2011
[c15]Priya Krishnan Sundararajan, Ole J. Mengshoel, Ted Selker: Multi-Fisheye for Interactive Visualization of Large Graphs. Scalable Integration of Analytics and Visualization 2011
[c14]Lu Zheng, Ole J. Mengshoel, Jike Chong: Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization. UAI 2011: 822-830- 2010
[j9]Ole J. Mengshoel: Understanding the scalability of Bayesian network inference using clique tree growth curves. Artif. Intell. 174(12-13): 984-1006 (2010)
[j8]Ole J. Mengshoel, Mark Chavira, Keith Cascio, Scott Poll, Adnan Darwiche, N. Serdar Uckun: Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study. IEEE Transactions on Systems, Man, and Cybernetics, Part A 40(5): 874-885 (2010)
[c13]Severino F. Galán, Ole J. Mengshoel: Generalized crowding for genetic algorithms. GECCO 2010: 775-782
[c12]Bruce DeBruhl, Michele Cossalter, Roy Want, Ole J. Mengshoel, Pei Zhang: Inferring Complex Human Behavior Using a Non-obtrusive Mobile Sensing Platform. MobiCASE 2010: 306-310
[c11]Johann Schumann, Ashok N. Srivastava, Ole J. Mengshoel: Who Guards the Guardians? - Toward V&V of Health Management Software - (Short Paper). RV 2010: 399-404
[c10]Johann Schumann, Ole J. Mengshoel, Ashok N. Srivastava, Adnan Darwiche: Towards software health management with bayesian networks. FoSER 2010: 331-336
2000 – 2009
- 2009
[j7]Severino F. Galán, Ole J. Mengshoel: Constraint Handling Using Tournament Selection: Abductive Inference in Partly Deterministic Bayesian Networks. Evolutionary Computation 17(1): 55-88 (2009)- 2008
[j6]Ole J. Mengshoel: Understanding the role of noise in stochastic local search: Analysis and experiments. Artif. Intell. 172(8-9): 955-990 (2008)
[j5]Ole J. Mengshoel, David E. Goldberg: The Crowding Approach to Niching in Genetic Algorithms. Evolutionary Computation 16(3): 315-354 (2008)
[c9]Ole J. Mengshoel, Adnan Darwiche, Keith Cascio, Mark Chavira, Scott Poll, N. Serdar Uckun: Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft. AAAI 2008: 1699-1705- 2007
[c8]Ole J. Mengshoel: Macroscopic Models of Clique Tree Growth for Bayesian Networks. AAAI 2007: 1256-1262- 2006
[j4]Ole J. Mengshoel, David C. Wilkins, Dan Roth: Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering. Artif. Intell. 170(16-17): 1137-1174 (2006)- 2003
[c7]Corinne Clinton Ruokangas, Ole J. Mengshoel: Information filtering using bayesian networks: effective user interfaces for aviation weather data. IUI 2003: 280-283
1990 – 1999
- 1998
[c6]Ole J. Mengshoel, David C. Wilkins: Genetic Algorithms for Belief Network Inference: The Role of Scaling and Niching. Evolutionary Programming 1998: 547-556- 1997
[c5]- 1996
[j3]Ole J. Mengshoel, Sanjeev Chauhan, Yong Se Kim: Intelligent critiquing and tutoring of spatial reasoning skills. AI EDAM 10(3): 235-249 (1996)
[c4]Ole J. Mengshoel, David C. Wilkins: ReCognition and Critiquing of Erroneous Agent Actions. Agent Modeling 1996: 61-68
[c3]Carol Hubbard, Ole J. Mengshoel, Chris Moon, Yong Se Kim: Multimedia Instructional Software for Visual Reasoning: Visual Reasoning Tutor (VRT). ICMCS 1996: 261-268- 1995
[j2]Ole J. Mengshoel: A reformulation technique and tool for knowledge interchange during knowledge acquisition. Int. J. Hum.-Comput. Stud. 43(2): 177-212 (1995)- 1993
[j1]
[c2]Ole J. Mengshoel, Ingeborg Sølvberg: Acquisition and Modeling of Uncertain, Incomplete and Time-Varying Knowldege. EKAW 1993: 300-319- 1991
[c1]Ole J. Mengshoel: KVAT: A Tool for Incremental Knowledge Validation in a Knowledge Engineering Workbench. EUROVAV 1991: 133-146
Coauthor Index
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last updated on 2013-10-02 11:00 CEST by the dblp team



