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  • 1
    Online Resource
    Online Resource
    Karlsruhe : KIT Scientific Publishing
    UID:
    edoccha_9960795695902883
    Format: 1 electronic resource (226 p.)
    ISBN: 1000146434
    Series Statement: Karlsruher Schriften zur Anthropomatik
    Content: This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mixture Density Networks and Bézier curves with Gaussian random variables as control points. A key advantage of this model is given by the ability to generate multi-mode predictions in a single inference step, thus avoiding the need for Monte Carlo simulation.
    Note: English
    Additional Edition: ISBN 3-7315-1198-3
    Language: English
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