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遗传算法与PLS结合的程序，用于变量筛选，解决变量过多的组合优化问题。,Genetic Algorithms and PLS combined procedures for variable selection, too many variables to solve combinatorial optimization problem.
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修正过的pso 算法 属于离散型的pso程序，可用于变量筛选，效果不错！-Modified discrete PSO algorithm belonging to the PSO procedure, can be used for variable selection, good results!
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Bayes model averaging with selection of regressors - This program can be utilized for Bayesian Variable Selection using Gibbs Sampler-Bayes model averaging with selection of regressors- This program can be utilized for Bayesian Variable Selection usi
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ANFIS网络编程环境下的变量选择程序，通过确定非相关性分析挑选适合确定输出的输入变量-ANFIS network programming environment variable selection procedures, by determining the selection of non-correlation analysis to determine the output of the input variables for
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Lasso变量选择方法创始人的经典代码，内含多个源代码，每个可单独运行-Lasso variable selection method, founder of the classical code, containing more than one source code can be run separately for each
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结合BP神经网络应用平均影响值（MIV，Mean Impact Value）方法来说明如何使用神经网络来筛选变量，找到对结果有较大影响的输入项，继而实现使用神经网络进行变量筛选。-BP neural network application with the average impact value (MIV, Mean Impact Value) method to illustrate how to use the neural network to filter the variables
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In this paper, we study Spatial Tomlinson-Harashima
Precoding (STHP). We propose a generalization of the
original structure of STHP which enables different transmission
power per antenna. The main advantage of the new scheme is
that it has a
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Local Linear ApproximationLo cal Linear Approximation-Local Linear ApproximationLocal Linear ApproximationLocal Linear Approximation
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收集的PLS变量筛选程序，在VBA中编程的。-Collected PLS variable selection procedures in the programming in VBA.
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变量选择方法的代码，本人经编写验证正确而的代码，欢迎使用-Variable selection method code, I verify the correct and by writing code, Welcome
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神经网络变量筛选—基于BP的神经网络变量筛选。-Neural network variable selection- based on BP neural network variable selection.
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基于AIC,BIC准则的变量选择方法的matlab程序实现代码-Based on AIC, BIC criteria for variable selection methods matlab program implementation code
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结合神经网络应用平均影响值来说明如何使用神经网络进行变量筛选-Variable Selection
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Variational inference for Bayesian variable selection
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CARS-PLS 用于光谱数据或色谱数据变量选择的matlab 源码-CARS-PLS variable selection method for spectral data or chromatography data
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High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning 对应的源码-High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning the corresponding source
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Matlab code for Variable Selection
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eature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features for use in model construction
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神经网络变量筛选—基于BP的神经网络变量筛选-Neural network variable selection- based on BP neural network of variable selection
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神经网络变量筛选—基于BP的神经网络变量筛选-Neural network variable selection- BP neural network variables based screening
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