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    Author information
    First name: Peter J. F.
    Last name: Lucas
    DBLP: l/PeterJFLucas
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    Below you find the publications which have been written by this author.

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    Conference paper
    Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas.
    Hybrid time Bayesian networks.
    Int. J. Approx. Reasoning 2017, Volume 80 (0) 2017
    Journal article
    Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Alexis Linard.
    Asymmetric hidden Markov models.
    Int. J. Approx. Reasoning 2017, Volume 88 (0) 2017
    Conference paper
    Hossein Amirkhani, Mohammad Rahmati, Peter J. F. Lucas, Arjen Hommersom.
    Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks.
    IEEE Trans. Pattern Anal. Mach. Intell. 2017, Volume 39 (0) 2017
    Journal article
    Giso H. Dal, Peter J. F. Lucas.
    Weighted positive binary decision diagrams for exact probabilistic inference.
    Int. J. Approx. Reasoning 2017, Volume 90 (0) 2017
    Conference paper
    Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Martijn Lappenschaar, Joost G. E. Janzing.
    Understanding disease processes by partitioned dynamic Bayesian networks.
    Journal of Biomedical Informatics 2016, Volume 61 (0) 2016
    Conference paper
    Steffen Michels, Arjen Hommersom, Peter J. F. Lucas.
    Approximate Probabilistic Inference with Bounded Error for Hybrid Probabilistic Logic Programming.
    Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016 2016 (0) 2016
    Conference paper
    Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Sicco Verwer, Alexis Linard.
    Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case.
    Probabilistic Graphical Models - Eighth International Conference, PGM 2016, Lugano, Switzerland, September 6-9, 2016. Proceedings 2016 (0) 2016
    Conference paper
    Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas.
    Learning Parameters of Hybrid Time Bayesian Networks.
    Probabilistic Graphical Models - Eighth International Conference, PGM 2016, Lugano, Switzerland, September 6-9, 2016. Proceedings 2016 (0) 2016
    Conference paper
    Giso H. Dal, Peter J. F. Lucas.
    Weighted Positive Binary Decision Diagrams for Exact Probabilistic Inference.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Peter J. F. Lucas, Arjen Hommersom.
    Modeling the Interactions between Discrete and Continuous Causal Factors in Bayesian Networks.
    Int. J. Intell. Syst. 2015, Volume 30 (0) 2015
    Show item 1 to 10 of 117  

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