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Anglický jazyk
Probabilistic Parametric Curves for Sequence Modeling
Autor: Ronny Hug
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... Viac o knihe
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O knihe
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.
- Vydavateľstvo: Karlsruher Institut für Technologie
- Rok vydania: 2022
- Formát: Paperback
- Rozmer: 210 x 148 mm
- Jazyk: Anglický jazyk
- ISBN: 9783731511984
