Toward a generic representation of random variables for machine learning

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Toward a generic representation of random variables for machine learning

2 June 2015

Philippe Donnat

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Papers citing "Toward a generic representation of random variables for machine learning"

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Title
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions Yufeng Zhang Wanwei Liu Zhenbang Chen Ji Wang KenLi Li 128 26 0 10 Feb 2021
Algorithms for Learning Graphs in Financial Markets José Vinícius de Miranda Cardoso Jiaxi Ying Daniel P. Palomar CML AIFin 128 17 0 31 Dec 2020
Optimal Copula Transport for Clustering Multivariate Time Series Gautier Marti Frank Nielsen Philippe Donnat OT AI4TS 150 8 0 27 Sep 2015
HCMapper: An interactive visualization tool to compare partition-based flat clustering extracted from pairs of dendrograms Gautier Marti Philippe Donnat Frank Nielsen P. Very 43 5 0 29 Jul 2015