. . . . "2008-01-01+01:00"^^ . "P\u0159edstav\u00EDme metodu Gaussian Process Regression a diskutujeme probl\u00E9my tr\u00E9nov\u00E1n\u00ED, predikce a jejich efektivn\u00ED realizaci. D\u00E1le se zab\u00FDv\u00E1me aplikac\u00ED GPR v n\u00E1vrhov\u00E9 optimalizaci a modelov\u00E1n\u00ED experiment\u00E1ln\u00EDch dat."@cs . . . . "Matematicko-Fyzik\u00E1ln\u00ED Fakulta Univerzity Karlovy" . "Use of Gaussian Process Regression in Processing Scientific Data" . "347883" . "RIV/00010669:_____/09:#0000876!RIV09-MSM-00010669" . "[7BFF91299431]" . . "Z(MSM0001066901)" . "Use of Gaussian Process Regression in Processing Scientific Data"@en . "Use of Gaussian Process Regression in Processing Scientific Data" . "WDS'08 Proceedings" . . . . "Pou\u017Eit\u00ED Gaussian Process Regression pro Zpracov\u00E1n\u00ED V\u011Bdeck\u00FDch Dat"@cs . "978-80-7378-065-4" . "Use of Gaussian Process Regression in Processing Scientific Data"@en . "RIV/00010669:_____/09:#0000876" . "data processing; regression; gaussian process"@en . "1"^^ . . "We present the method of Gaussian Process Regression (GPR) and discuss the issues of training and prediction and their efficient realization. Further, we consider the application of GPR in design optimization and modeling experimental data."@en . "Pou\u017Eit\u00ED Gaussian Process Regression pro Zpracov\u00E1n\u00ED V\u011Bdeck\u00FDch Dat"@cs . "7"^^ . . . . "We present the method of Gaussian Process Regression (GPR) and discuss the issues of training and prediction and their efficient realization. Further, we consider the application of GPR in design optimization and modeling experimental data." . "1"^^ . "Praha" . "H\u00E1jek, Jaroslav" . "Praha" . .