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A variational approach to path estimation and parameter inference of hidden diffusion processes

Sutter, T. and Ganguly, A. and Koeppl, H. (2016):
A variational approach to path estimation and parameter inference of hidden diffusion processes.
In: Journal of Machine Learning Research, 17 (190), pp. 1-37. [Article]

Item Type: Article
Erschienen: 2016
Creators: Sutter, T. and Ganguly, A. and Koeppl, H.
Title: A variational approach to path estimation and parameter inference of hidden diffusion processes
Language: English
Journal or Publication Title: Journal of Machine Learning Research
Journal volume: 17
Number: 190
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Zentrale Einrichtungen
Zentrale Einrichtungen > Centre for Cognitive Science (CCS)
Date Deposited: 15 Sep 2016 06:14
Official URL: http://jmlr.org/papers/v17/16-075.html
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