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模式识别中pca 5-fold交叉检验算法-pattern recognition pca 5-fold cross-validation algorithm
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基于NSVM的两类SVM分类器，matlab7.1运行通过，main中做了PCA的特征提取、leave one out cross-valiation和5-fold cross-validation（重复10次的平均值）
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神经网络训练，应用matlab7NN包，用一个隐藏层使用5折交叉验证。-Training the Neural Network
This scr ipt is something that I did for a course at Uni. It uses the Neural Networking package provided with MatLab 7 unfortunately I m not sure if it s available with the earlier ve
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本次大作业利用K‐近邻（K‐Nearest Neighbor）算法，为给定的训练数据集构造了分类器，
并在测试数据集上进行分类预测，同时计算了Accuracy、Precision、Recall和F‐measure，利用
10‐fold的实验方法进行交叉验证。-The big job to use K-neighbor (K-Nearest Neighbor) algorithm, for a given set of training data classifier is constru
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estimate the test accuracy,training accuray and validation accuracy of a neural network with 10-fold cross validation.-estimate the test accuracy,training accuray and validation accuracy of a neural network with 10-fold cross validation.
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Matlab 实现多项式曲线拟合（正弦曲线），交叉验证（十折交叉验证）-poly fit ，cross validation
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Abstract. This paper describes a system for isolated Kannada handwritten
numerals recognition using image fusion method. Several digital
images corresponding to each handwritten numeral are fused to generate
patterns, which are stored in 8x8 ma
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MATLAB cross-validation tool for classification and regression v0.1
FEATURES:
+ K-fold cross validation.
+ Arbitrary train and prediction functions with parameters can be used.
+ Arbitrary loss function can be used.
+ Wrappers for
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Naive Bayes training and testing with 10-fold cross validation. Train and test data files provided.
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Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for
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matlab交叉验证cross Validation，把样本集分为训练集和测试集，防止网络出现过拟合，提高网络的泛化能力和预测精度-cross Validation for matlab，to estimate the test accuracy,training accuray and validation accuracy of a neural network
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一个matlab写的bp人工神经网络程序，参数优化采用交叉验证办法-Write a matlab bp artificial neural network program, parameter optimization using cross-validation method
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该程序用于十折交叉验证，对原数据集进行随机划分。-The procedure used for the ten-fold cross-validation randomly divided the original data set.
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非常好的5倍交叉验证的程序，可以进行svm分类，推荐大家使用，非常好的-Very good 5-fold cross-validation procedure, svm classification, we recommend using the very good
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ann k-fold cross validation matlab cone
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SVM with K-fold cross validation
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十折交叉验证程序，用贝叶斯公式进行具体计算验证在已有条件下是否去打球。-Calculate average decision accurate for Table 1 using Ten-fold-cross validation.
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十折交叉验证算法的代码，我用的比较简单，希望大家能够喜欢-Ten-fold cross-validation algorithm code, I use relatively simple, hope that we can love
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divide your data set into training and validation sets for n-fold cross-validation.
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进行K折交叉验证，将数据分为K份，将1份作为TEST，剩下K-1份作为TRAINING，对TEST进行测试(K folding cross validation)
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