|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910584592003321 |
|
|
Autore |
Hug Ronny |
|
|
Titolo |
Probabilistic Parametric Curves for Sequence Modeling |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Karlsruhe, : KIT Scientific Publishing, 2022 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 electronic resource (226 p.) |
|
|
|
|
|
|
Collana |
|
Karlsruher Schriften zur Anthropomatik |
|
|
|
|
|
|
Soggetti |
|
Maths for computer scientists |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Sommario/riassunto |
|
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. |
|
|
|
|
|
|
|