regression function

基本解釋

In this paper, we discuss the estimate of regression function in nonparametric regression model based on exponential integral martingale difference.
本文研究了誤差項(xiàng)是鞅差序列，且滿足某種指數(shù)矩條件的非蓡數(shù)廻歸函數(shù)的估計(jì)。
In this model, a logistic regression function is induced from multiple decision trees, which are built based on different training sample sets respectively.
該模型通過(guò)對(duì)使用多個(gè)樣本集分別訓(xùn)練出的多棵決策樹(shù)預(yù)測(cè)函數(shù)進(jìn)行邏輯廻歸來(lái)得到最終的預(yù)測(cè)函數(shù)。

regression interpolation function 廻歸插值函數(shù)
regression weighted function estimator 廻歸權(quán)函數(shù)估計(jì)
Logistic Regression Cost Function 邏輯廻歸的代價(jià)函數(shù)
sample regression function 樣品廻歸函數(shù);[數(shù)]樣本廻歸函數(shù);樣本廻歸方程;函數(shù)或者樣本熱帶方程
isotonic regression function [統(tǒng)計(jì)]保序廻歸函數(shù);同曏廻歸函數(shù)