Arquivo do trabalho - IAG - USP

Arquivo do trabalho - IAG - USP Arquivo do trabalho - IAG - USP

22.08.2015 Views

J. A. O’Sullivan. ONR MURI Review, 11/09/2000Function Estimation and Classification• Functions are estimated from- sample data sets only- physical model datasets only (PRISM, XPATCH, etc.)- combination of these• Training sets are finite• Computational and likelihood models have a finitenumber of parameters• Estimation error• Approximation error• Some regularization is needed24

J. A. O’Sullivan. ONR MURI Review, 11/09/2000Function Estimation and Classification• Functions are estimated from- sample data sets only- physical model datasets only (PRISM, XPATCH, etc.)- combination of these• Training sets are finite• Computational and likelihood models have a finitenumber of parameters• Estimation error• Approximation error• Some regularization is needed24

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