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 [BibTeX] [Marc21]
Estimation of Conditional Distributions using Gaussian Mixture Models
Type of publication: Idiap-RR
Citation: gilardi-rr-02-03
Number: Idiap-RR-03-2002
Year: 2002
Institution: IDIAP
Note: Submitted to ICANN 2002
Abstract: This paper proposes the use of Gaussian Mixture Models to estimate conditional probability density functions. A conditional Gaussian Mixture Model has been compared to the geostatistical method of Sequential Gaussian Simulations. The data set used is a part of the digital elevation model of Switzerland.
Userfields: ipdmembership={learning},
Projects Idiap
Authors Gilardi, Nicolas
Bengio, Samy
Kanevski, Mikhail
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Total mark: 0
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