no code implementations • 28 Sep 2016 • Shuichi. Kawano, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi
The basic loss function is based on a combination of the regression loss and PCA loss.
no code implementations • 26 Feb 2014 • Shuichi. Kawano, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi
Principal component regression (PCR) is a two-stage procedure that selects some principal components and then constructs a regression model regarding them as new explanatory variables.