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2下载：
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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对一维光谱实现偏最小二乘回归进行UVE变量选择-UVE variable selection on the spectrum
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神经网络变量筛选，基于BP神经网络的变量筛选-The neural network variable selection, based on BP neural network variable screening
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Sparse Partial Least Squares Regression for On-Line Variable Selection
with Multivariate Data Streams
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常见的神经网络案例：神经网络的变量筛选—基于BP的神经网络变量筛选-Common case of neural network: the neural network of variable selection- based on BP neural network variable screening
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libPLS: a Library for Partial Least Squares Regression and Discriminant Analysis-This library provides a whole set of easy-to-use functions for building partial least squares (PLS) regression (PLSR) and discriminant analysis (PLS-DA) models as well a
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计算光谱阵中吸光度向量与浓度向量的相关系数，波长变量选择可以用此方法！-Absorbance in the spectral matrix calculated correlation coefficient vector and concentration of vector, wavelength, variable selection can use this method!
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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 screening
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《MATLAB神经网络30个案例分析》中的第20个例子，案例20 神经网络变量筛选—基于BP的神经网络变量筛选。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 20 cases of 20 neural network variable selection- based on BP neural network of variable selection. Hope to have certain h
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神经网络变量筛选—基于BP的神经网络变量筛选,MATLAB的经典算法-Neural network variable selection- based on BP neural network variable selection, MATLAB classical algorithm
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Abstract There a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (
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基于支持向量机选择确定决定分类最优分界面的支持向量样本，基于这些样本中各个变量在基坐标上投影进行变量选择-Selection based on support vector machine (SVM) to determine the optimal boundary decision classification support vector of the sample, based on the sample of each variable on the base coordinate p
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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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Recursive weighted partial least squares (rPLS):
an ef fi cient variable selection method using PLS-Recursive weighted partial least squares (rPLS):
an ef fi cient variable selection method using PLS
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Bayesian 神经网络，可用于模型构建中变量的筛选-Bayesian neural network，could be applied for variable selection in model construction
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bipls变量选择方法的matlab代码，包括所有有关代码-
bipls variable selection method matlab code, including all relevant codes
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以识别率为适应度函数的遗传算法，另包含GA工具箱及2篇最新GA变量选择英文文献-Calculate the classification rate as fitness,include 2 newest article about GA variable selection and GA tools
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CARS变量选择方法能够在一定程度上克服变量选择中的组合爆炸问题，筛选出优化的变量子集，提高模型的预测能力- Competitive Adaptive Reweighted Sampling method for variable selection.
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