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@TECHREPORT{gilardi-rr-02-03,
                      author = {Gilardi, Nicolas and Bengio, Samy and Kanevski, Mikhail},
                    projects = {Idiap},
                       title = {Estimation of Conditional Distributions using Gaussian Mixture Models},
                        type = {Idiap-RR},
                      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.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-03.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-03.ps.gz},
ipdmembership={learning},
}