EggeSalaBier10 10.1002/net.20428 doi Uncertainty Feature Optimization: an implicit paradigm for problems with noisy data 2011 Optimization problems with noisy data solved using stochastic programming or robust optimization approaches require the explicit characterization of an uncertainty set U that models the nature of the noise. Such approaches depend on the modeling of the uncertainty set and suffer from an erroneous estimation of the noise. Eggenberg, Niklaus Salani, Matteo Bierlaire, Michel 270-284 Networks 0028-3045 57 3 2011 http://www3.interscience.wiley.com/cgi-bin/jhome/32046 TRANSP-OR EPFL
Fatal error: Uncaught Error: Call to undefined function ereg() in E:\Inetpub\transp-or.epfl.ch\web\oneMarcXML.php:230 Stack trace: #0 {main} thrown in E:\Inetpub\transp-or.epfl.ch\web\oneMarcXML.php on line 230