Search Results - Kappen, B.

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  1. 1
    Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems

    Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems by Van den Broek, B., Wiegerinck, W., Kappen, B.

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  2. 2
    Monte Carlo Methods for Tempo Tracking and Rhythm Quantization

    Monte Carlo Methods for Tempo Tracking and Rhythm Quantization by Cemgil, A. T., Kappen, B.

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  3. 3
    Bound Propagation

    Bound Propagation by Leisink, M., Kappen, B.

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  4. 4
    Improving Cox survival analysis with a neural-Bayesian approach

    Improving Cox survival analysis with a neural-Bayesian approach by Bakker, Bart, Heskes, Tom, Neijt, Jan, Kappen, Bert

    Published in Statistics in medicine
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  5. 5
    On tempo tracking: Tempogram Representation and Kalman filtering

    On tempo tracking: Tempogram Representation and Kalman filtering by Cemgil, Ali Taylan, Kappen, Bert, Desain, Peter, Honing, Henkjan

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  6. 6
    Rhythm Quantization for Transcription

    Rhythm Quantization for Transcription by Cemgil, Ali Taylan, Desain, Peter, Kappen, Bert

    Published in Computer music journal
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  7. 7
    Approximate algorithms for neural-Bayesian approaches

    Approximate algorithms for neural-Bayesian approaches by Heskes, Tom, Bakker, Bart, Kappen, Bert

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  8. 8
    Generative model based polyphonic music transcription

    Generative model based polyphonic music transcription by Cemgil, A.T., Kappen, B., Barber, D.

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  9. 9
    Bound Propagation

    Bound Propagation by Kappen, B, Leisink, M

    Published in arXiv.org
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  10. 10
    Error potentials for self-organization

    Error potentials for self-organization by Heskes, T.M., Kappen, B.

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  11. 11
    Approximations of Bayesian networks through KL minimisation

    Approximations of Bayesian networks through KL minimisation by Wiegerinck, Wim, Kappen, Bert

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  12. 12
    Optimal control as a graphical model inference problem

    Optimal control as a graphical model inference problem by Kappen, B, Gomez, V, Opper, M

    Published in arXiv.org
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  13. 13
    Neural networks learning in a changing environment

    Neural networks learning in a changing environment by Heskes, T., Kappen, B.

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  14. 14
    Monte Carlo Methods for Tempo Tracking and Rhythm Quantization

    Monte Carlo Methods for Tempo Tracking and Rhythm Quantization by Cemgil, A T, Kappen, B

    Published in arXiv.org
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  15. 15
    Learning processes in neural networks

    Learning processes in neural networks by Heskes, TM, Kappen, B

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  16. 16
    Learning proceses in neural networks

    Learning proceses in neural networks by HESKES, T. M, KAPPEN, B

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  17. 17
    Biomarkers for monitoring clinical efficacy of allergen immunotherapy for allergic rhinoconjunctivitis and allergic asthma: an EAACI Position Paper

    Biomarkers for monitoring clinical efficacy of allergen immunotherapy for allergic rhinoconjunctivitis and allergic asthma: an EAACI Position Paper by Shamji, M. H., Kappen, J. H., Akdis, M., Jensen‐Jarolim, E., Knol, E. F., Kleine‐Tebbe, J., Bohle, B., Chaker, A. M., Till, S. J., Valenta, R., Poulsen, L. K., Calderon, M. A., Demoly, P., Pfaar, O., Jacobsen, L., Durham, S. R., Schmidt‐Weber, C. B.

    Published in Allergy (Copenhagen)
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  18. 18
    Learning-parameter adjustment in neural networks

    Learning-parameter adjustment in neural networks by HESKES, T. M, KAPPEN, B

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  19. 19
    Stimulus segmentation in a stochastic neural network with exogenous signals

    Stimulus segmentation in a stochastic neural network with exogenous signals by Stroeve, S, Kappen, B, Gielen, S

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  20. 20
    Cooling schedules for learning in neural networks

    Cooling schedules for learning in neural networks by HESKES, T. M, SLIJPEN, E. T. P, KAPPEN, B

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