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City Palaiseau / Aires et / New York / Paris / / Company PCA / / Country United States / / Facility Columbia University/NASA Goddard Institute / France W. B. Rossow NASA Goddard Institute / / IndustryTerm metropolis algorithm / probable network / adequate sampling algorithm / potential applications / analytical solution / neural network / nonunique solution / back-propagation algorithm / infrared satellite observations / data analysis tool / neural networks / model selection tool / diagnostic tool / learning algorithm / / Organization Observatoire de Paris / American Geophysical Union / Columbia University / Network Jacobians F. Aires Department of Applied Physics and Applied Mathematics / France W. B. Rossow NASA Goddard Institute for Space Studies / National Aeronautics and Space Administration / Institute for Space Studies / / Position Bishop / General / / ProvinceOrState West Virginia / New York / / PublishedMedium JOURNAL OF GEOPHYSICAL RESEARCH / / Technology Geophysics / learning algorithm / remote sensing / Neural network / back-propagation algorithm / microwave / adequate sampling algorithm / simulation / PDF / metropolis algorithm / / SocialTag 
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 109, D10305, doi:2003JD004175, 2004 Neural network uncertainty assessment using Bayesian statistics with application to remote sensing: 3. Network Jacobians F. Aires