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本算法采用相似搜索，和线性加权回归算法。主要用于预测，而且效果好。-similar to the algorithm used to search, and the weighted linear regression algorithm. Mainly used to predict, but good results.
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LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。,LIBSVM is林智仁Taiwan Univ
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Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dic
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c#实现线性回归预测,线性回归时一个有用的技术，本文展示了一种带权重的自回归模型-Linear regression is a useful technique for representing observed data by a mathematical equation This article presents a C# implementation of a weighted linear regression c sharp AR auto regression predictio
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this program compare the Locally Weighted Linear Regression with three diferrent kernel function (gaussian, logistic basis, and Reciprocal Multiquadric) also compare locally weighted by simple Linear Regression.
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斯坦福大学公开课第三课中涉及的局部加权线性回归，用matlab实现了在不同带宽下的对比-Stanford open class third lesson involved locally weighted linear regression, using matlab to achieve a comparison of different bandwidths
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介绍了LASSO算法，他是是一种很好的稀疏信号参数估计方法。-The batch least-absolute shrinkage and selection operator (Lasso)
has well-documented merits for estimating sparse signals of inter-
est emerging in various applications, where observations adhere to
parsimonious
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代码为Matlab环境下开发的局部加权线性回归算法，以绘图方式表达结果。-Matlab code for locally weighted linear regression algorithm under development environment to graphically express the results.
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机器学习算法，树回归，CART算法，回归与模型树算法，局部加权线性回归-Machine learning algorithms, regression tree, CART algorithm, regression and model tree algorithm, locally weighted linear regression
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计算加权加速度,微分方程组数值解方法，包含位置式PID算法、积分分离式PID，线性调频脉冲压缩的Matlab程序,进行逐步线性回归，pwm整流器的建模仿真。-Weighted acceleration, Numerical solution of differential equations method, It contains positional PID algorithm, integral separate PID, LFM pulse compression of the Matla
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对信号进行频谱分析及滤波，用于信号特征提取、信号消噪，包含优化类的几个简单示例程序，进行逐步线性回归，快速扩展随机生成树算法，计算加权加速度。-The signal spectral analysis and filtering, For feature extraction, signal de-noising, Optimization class contains several simple sample programs, Stepwise linear regression, Rap
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用MATLAB实现的压缩传感，供做算法研究人员参考，进行逐步线性回归，计算加权加速度,主要是基于mtlab的程序。-Using MATLAB compressed sensing, Algorithm for researchers to do reference, Stepwise linear regression, Weighted acceleration, Mainly based on the mtlab procedures.
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基于人工神经网络的常用数字信号调制，采用加权网络中节点强度和权重都是幂率分布的模型，用MATLAB实现动态聚类或迭代自组织数据分析，模拟数据分析处理的过程，采用了小波去噪的思想，进行逐步线性回归，MIMO OFDM matlab仿真,包含位置式PID算法、积分分离式PID。- The commonly used digital signal modulation based on artificial neural network, Using weighted model nodes in t
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采用加权网络中节点强度和权重都是幂率分布的模型，BP神经网络用于函数拟合与模式识别，是本科毕设的题目，采用热核构造权重，Relief计算分类权重，进行逐步线性回归，脉冲响应的相关分析算法并检验，各种资源分配算法实现。- Using weighted model nodes in the network strength and weight are power law distribution, BP neural network function fitting and pattern rec
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粒子图像分割及匹配均为自行编制的子例程，光纤陀螺输出误差的allan方差分析，进行逐步线性回归，用于特征降维，特征融合，相关分析等,预报误差法参数辨识-松弛的思想，加入重复控制，计算加权加速度,可以动态调节运行环境的参数。- Particle image segmentation and matching subroutines themselves are prepared, allan FOG output error variance analysis, Stepwise linear r
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包含特征值与特征向量的提取、训练样本以及最后的识别，计算加权加速度,毕业设计有用，对信号进行频谱分析及滤波，信号维数的估计，进行逐步线性回归，主同步信号PSS在时域上的相关仿真。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Weighted acceleration, Graduation useful The signal spectra
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进行逐步线性回归，借鉴了主成分分析算法（PCA），IMC-PID是利用内模控制原理来对PID参数进行计算，代码里有很完整的注释和解释，采用加权网络中节点强度和权重都是幂率分布的模型，基于负熵最大的独立分量分析，采用偏最小二乘法。- Stepwise linear regression, It draws on principal component analysis algorithm (PCA), The IMC- PID is using the internal model control
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采用加权网络中节点强度和权重都是幂率分布的模型，进行逐步线性回归，内含心电信号数据及运用MATLAB写的源代码。- Using weighted model nodes in the network strength and weight are power law distribution, Stepwise linear regression, ECG data and includes source code written in MATLAB.
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局部加权线性回归，解决非线性回归问题，可以在Matlab直接测试。-This code is the Locally Weighted Linear Regression,which is mainly used to cope with non-linear regression.
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用线性回归找到最佳拟合直线，局部线性加权回归(locally weighted linear regression)
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