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采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本，考察训练/测试错误情况。-The use of height and weight data as the characteristics of the assumption that the two were related or not related to the normal distribution probabilit
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RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) impleme
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Eigenfaces: PCA tends to find a p-dimensional subspace
whose basis vectors correspond to the maximum
variance direction in the original image space (p N).
We called the new subspace defined by basis vectors “face
space”. First, all training
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用matlab实现支持向量机分类算法，通过对数据进行测试训练来进行分类-Using matlab implementation support to the classification algorithms to data, through testing and training to categorize
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mmvn_toolkit
matlab下多元高斯混合模型工具-具有产生、测试、查看功能-complete toolkit for generating, training, testing and viewing multidimensional gaussian mixtures
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最小二乘支持向量机的程序包，包括了模型的训练和测试的各种函数。-Support Vector Machine package, including training and testing models of various functions.
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3个RBF网络的matlab源程序，有训练和测试程序-3 RBF network matlab source, there are training and testing procedures
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This is the source code for a Single Vector Machine classifier, briefly called a SVM classifier.
There are 60 peices assigned for training and 30 for testing the classifier.
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在MATLAB实现的用C实现的KNN算法，输入训练数据文件，和test文件，进行预测分类，并且可以与真实情况比较测试预测正确百分比-Implemented in MATLAB KNN algorithm implemented in C, the input training data file, and test files, to predict the classification and testing with the real situation is more correct pe
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This a Matlab code explaining the Primal SVM training and testing algorithm using Lagrange mathematical theory-This is a Matlab code explaining the Primal SVM training and testing algorithm using Lagrange mathematical theory
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The early detection of arrhythmia is very important
for the cardiac patients. This done by analyzing the
electrocardiogram (ECG) signals and extracting some features
from them. These features can be used in the classification of
different typ
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Bayesian (NB) Matlab code. it contains two codes. one is used for training datasets, the othe is used for testing datasets.
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fisher分类法的matlab实现，包含训练与测试部分。-fisher classification matlab implementation, including training and testing parts.
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naive bayes分类法的matlab实现，包含训练和测试部分-naive bayes classification matlab realize, including training and testing parts
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伪逆分类法的matlab实现，包含训练和测试部分-Pseudo-inverse classification matlab realization, including training and testing parts
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语种识别matlab程序，里面包括gmm，hmm模型的训练和测试-Language recognition matlab program, which includes training and testing gmm, hmm model,,,,,,
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Image classification using Backpropragation Neural Network with data training set and data testing
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BP算法的matlab的主要框架以及样本的训练过程及测试过程(ABOUT BP junction.BP algorithm of the main framework of MATLAB and the sample training process and testing process)
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用MATLAB实现的随机抽样方法,自动划分为训练集和测试集(The random sampling method realized by Matlab can be divided into training set and testing set automatically)
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该课题为基于MATLAB bp神经网络的手写汉字识别系统。可以利用鼠标手写中文汉字进行训练，测试，可以识别任何字体，只需要到GUI界面面板更换即可。在GUI界面就可以随写随训练中文，不需要到后台手动更换文字训练，方便快捷上档次。(This project is a handwritten Chinese character recognition system based on Matlab bp neural network. You can use the mouse to write Ch
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