Download or read book Probabilistic Parametric Curves for Sequence Modeling written by Hug, Ronny and published by KIT Scientific Publishing. This book was released on 2022-07-12 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.