Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm

30 Jan 2020 Ryoya Yamasaki Toshiyuki Tanaka

Modal linear regression (MLR) is a method for obtaining a conditional mode predictor as a linear model. We study kernel selection for MLR from two perspectives: "which kernel achieves smaller error?".. (read more)

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