1.
A method of nonlinear regression based on rational interpolation spline
基于有理插值样条的非线性回归算法
2.
A Regression Algorithm Based on Iterated Bagging
一种基于迭代Bagging的回归算法
3.
Research and Application of Robust Regression Algorithm in Software Cost Estimation;
软件成本估算中的稳健回归算法研究与应用
4.
A Single-Parameter Lagrangian Support Vector Regression and Its Application;
基于单参数的Lagrangian支持向量回归算法及其应用
5.
Assessment of Electric Power Equipment Aging Trend Based on Robust Locally Weighted Regression Algorithm
基于强局部加权回归算法的电力设备老化评估
6.
Boosting Algorithm for Regression Computation
Boosting算法在回归问题计算的应用
7.
The Recursive Identification Algorithm of the Minimum Absolute Error Sum Regression
最小绝对误差和回归的递推辨识算法
8.
The Theory Research of Algorithm on Support Vector Regression and Application;
支持向量回归机算法理论研究与应用
9.
Blind Equalization Algorithm Based on v-Support Vector Regressor
基于v-支持向量回归机的盲均衡算法
10.
A New Algorithm for the Least Absolute Deviation Regression Based on the Simulated Annealing Algorithm;
基于模拟退火算法的最小一乘回归新算法
11.
A New Algorithm for the Least Orthogonal Absolute Deviation Regression Based on the Threshold Accepting Algorithm
基于门限接受算法的正交最小一乘回归新算法
12.
Application of GL Algorithm on Weighed Parameters to Linear Regression Model
GL算法在线性回归模型的权值计算中的应用
13.
The Recursive and Non-recursive Backtrack Algorithms for Nine Different Numerals Constitute an Equation of Multiplication
九位不同数字乘法等式的递归与非递归回溯算法
14.
SECRET is a new algorithm for scalable linear regression trees.
SECRET是一个关于可伸缩线形回归树的算法。
15.
The model parameters are estimated by linear regression.
用线性回归的方法计算出相应的模型参数。
16.
Firstly, the algorithm of SVM in regression approximation is introduced.
首先，介绍了支持向量回归估计的学习算法。
17.
The Restricted EM Algorithm for Regression Coefficients of the Linear Model with Missing Data;
含缺失数据的线性模型回归系数的约束EM算法
18.
Partial Least Squares Regression and Its Applications;
偏最小二乘回归的扩展及其实用算法构建