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svm（支持向量机）工具箱，用于svm预测，模式识别，故障诊断.-svm (support vector machine) toolbox for svm prediction, pattern recognition, fault diagnosis.
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机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等-Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidd
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一个牛人的神经网络支持向量机代码,对于搞模式识别的朋友强烈推荐!-A wonderful program of svm code coming from a superman,and strong recommendation to someone who learn about pattern-recognition .
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统计模式识别，包括PCA LDA SVM-Statistical pattern recognition, including the PCA LDA SVM
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支持向量机在解决小样本、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) in tackling small sample, nonlinear and high dimensional pattern recognition show many unique advantages.
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LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包。-LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Linzhiren (Lin Chih-Jen) and associate development and design.
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this paper has used two algorithms i.e local binary pattern and Log gabor filter for facial expression recognition.SVM and MDC are used as a classifier.Log gabor filter showed better performance than Local binary patter
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多种神经网络算法，包括等，可实现模式识别以及回归。-There are many algorithms in the zip,including svm, bp, crf,hmm.It can be used in the pattern recognition.
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支持向量机在模式识别中应用中不错的例子，并有详细的注释说明，适合入门。开发环境为matlab.-SVM pattern recognition applications, a good example, and there are detailed notes, for entry. Development environment for matlab.
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支持向量机SVM，有效小样本模式识别，程序有效含有例子，供大家参考-Support vector machine SVM, effective, small sample pattern recognition program example contains an effective, for your reference
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统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox
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Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
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自己在硕士期间用到的各种模式识别，机器学习，数据挖掘算法的matlab程序。C4_5,NN，SVM，adaboost,KNN等-During their Master used a variety of pattern recognition, machine learning, data mining algorithm matlab program. C4_5, NN, SVM, adaboost, KNN, etc.
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加权支持向量机的控制图模式识别方法，不平衡的分类异常控制模式与支持向量机的趋势
-A weighted support vector machine method for control chart pattern recognition imbalanced classification of abnormal control trend patterns with SVM
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提出了基于主动学习SVM的局部放电模式识别方法。将主动学习的思想引用到“一对一”多分类SVM分类器,选用基于后验概率的釆样函数对放电样本进行选择,挑选出对分类器最有价值的样本进行训练。
-Puts forward the partial discharge pattern recognition method based on active learning SVM. Will reference to the one to one the ideology of active stud
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In this tutorial we present a brief introduction to SVM, and we discuss about SVM published papers, workshop materials & material collected books and material available online on the World Wide Web. In the beginning we try to define SVM and try to ta
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模式识别领域常用的SVM工具箱，里面封装了大量常用函数，方便用户使用。-It is a SVM toolbox used in pattern recognition. Plenty of functions are prepared for use.
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模式识别重要分类器SVM工具箱，采用matlab实现-Important pattern recognition classifier SVM toolbox, adopting the matlab
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模式识别 北京大学 本科生课程 课件 （包括贝叶斯模型、最近邻、SVM、线性与非线性分类器、boosting、统计学习、非监督学习等）-Pattern Recognition Peking University Courseware (including Bayesian model, the nearest neighbor, SVM, linear and non-linear classifiers, boosting, statistical learning, unsupervised
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基于最小二乘支持向量机的模式识别，特征向量为滚动轴承的能量百分比和峭度系数-Pattern recognition based on least squares support vector machine (SVM), the percentage of energy eigenvector for rolling bearing and kurtosis coefficient
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模式识别和dsp中用非线性SVM画决策面-nonlinear SVM decipts decision boundary in
Pattern recognition and DSP
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