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SVM分类器，做的是模式识别的内容，两类四类分类器都有-SVM classifiers do is pattern recognition content classifier has four categories
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基于支持向量机的模式识别程序，可以实现2分类-Based on SVM pattern recognition program, you can achieve 2 classification
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采用支持向量机的方法对轴承故障进行模式识别，具有良好的识别效果。-Using support vector machine (SVM) method for bearing fault pattern recognition, good recognition effect.
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在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
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模式识别中knn和svm的使用，用到matlab的fitcknn和fitcsvm-pattern recognition the use of knn and svm to classify data, using matlab function fitcknn and fitcsvm
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支持向量机（SVM）是模式识别中很常用的方法，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势-Support Vector Machine (SVM) is a very common pattern recognition methods in solving the small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages
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支持向量机的仿真程序简单案例分析（分类和预测）模式识别-SVM simulation program simple case analysis (classification and prediction) Pattern Recognition
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这个程序主要是用来分类的，属于模式识别范畴。这里的支持向量机主要是用在人脸识别中-This program is mainly used for sorting, belong pattern recognition category. Here SVM is mainly used in face recognition
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在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, and
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Matlab模式识别例程，包括神经网络算法和BP算法，C均值算法与模糊C均值算法和SVM分类算法。-Matlab pattern recognition routines, including neural network algorithm and BP algorithm, C-means algorithm and Fuzzy C-means algorithm and SVM classification algorithm.
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SVM,ICA,PCA,NN等等模式识别算法,很有参考-SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value
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A Tutorial on Support Vector Machines for Pattern Recognition-Two Dimension Linear-SVM Problem, Two Class and Separable Situation
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Two Dimension quadratic-SVM Problem, Two Class and Separable Situation-A Tutorial on Support Vector Machines for Pattern Recognition
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四种支持向量机用于函数拟合与模式识别的Matlab示例程序-Four Support Vector Machines for Matlab Programming of Function Fitting and Pattern Recognition
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svm用于模式识别的数据多分类，不是自带工具箱-Svm is used for pattern recognition
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支持向量机分类算法，模式识别，多分类，语音识别。(Classification, pattern recognition)
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SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，是一个有监督的学习模型，通常用来进行模式识别、分类以及回归分析。(SVM (Support Vector Machine) refers to the support vector machine, is a common method of discrimination. In the field of machine learning, it is a supervised lear
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支持向量机，用于模式识别的特征分类，基于MATLAB的工具包(Support vector machines are used for feature classification of pattern recognition, based on MATLAB Toolkit)
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模式识别上面的第二次作业，主要是用SVM分类器来进行男女生的分类。(Pattern recognition above second operation, is mainly used SVM classifier to classify the male and female students.)
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模式识别分类，支持向量机，二分类算法，库函数实现(Pattern recognition classification)
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