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The best student paper award winner
Särkkä, Simo
(Recipient)
Department of Electrical Engineering and Automation
Prize
:
Award or honor granted for a specific work
Description
The best student paper award winner for paper "Jakub Prüher and Simo Särkkä (2016). On The Use Of Gradient Information In Gaussian Process Quadratures. In Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP)."
Awarded date
2016
Degree of recognition
International
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Signal Processing
100%
Machine Learning
100%
Gaussian Process
100%
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Prizes
Tammy L. Blair Best Student Paper Award, First Runner-Up
Prize
:
Award or honor granted for a specific work
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