Probabilistic Parametric Curves for Sequence Modeling is popular PDF and ePub book, written by Hug, Ronny in 2022-07-12, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Probabilistic Parametric Curves for Sequence Modeling can be Read Online from any device for your convenience.
Probabilistic Parametric Curves for Sequence Modeling Book PDF Summary
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.
Detail Book of Probabilistic Parametric Curves for Sequence Modeling PDF
- Author : Hug, Ronny
- Release : 12 July 2022
- Publisher : KIT Scientific Publishing
- ISBN : 9783731511984
- Genre : Mathematics
- Total Page : 224 pages
- Language : English
- PDF File Size : 15,9 Mb
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