DocSlides

PDF-StateSpace Inference and Learning with Gaussian Processes Ryan Turner Marc Peter Deisenroth Carl Edward Rasmussen Department of Engineering University of Cambridge Trumpington Street Cambridge CB PZ

SO

tawny-fly

Published 2014-12-16 | 7164 Views

StateSpace Inference and Learning with Gaussian Processes Ryan Turner Marc Peter Deisenroth Carl Edward Rasmussen Department of Engineering University of Cambridge Trumpington Street Cambridge CB PZ
We propose a new general metho dology for inference and learning in nonlinear statespace models that are described prob abilistically by nonparametric GP models

Download Presentation

Download Presentation The PPT/PDF document "StateSpace Inference and Learning with G..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Presentation Transcript

Related Topics