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SVM
- 支持向量机，用于分类。Classify using (a very simple implementation of) the support vector machine algorithm
Algorithm-SVM-0.11.tar
- 在人工智能中模式识别比较新的分类算法,支持向量机.用于特征分类.-A new classify arithmetic of pattern-recognition in artificial intelligence,use support vecotr machine to classify the characteristic
svm
- svm is a classifier.SUPPORT VECTOR MACHINE is used for train and classify new datas based on training
SVM
- 在matlab的环境中，根据各种算法提取到的信息来输入SVM分类器中进行训练-classify different various sorts of information in svm
four-Toolbox-for-SVM
- SVM分类器,关键是对信号进行分类，是模式识别的必备宝典-SVM classifier, the key is to classify the signal is essential for pattern recognition Collection
svm
- matlab实现的svm算法，调用fmincon函数优化-using svm to classify two kinds datas
svm_class
- 文件中的程序是用于支撑向量机对信号的分类-the program is used for svm classify
SVM
- 该程序为MATLAB源码，使用SVM算法（简易实现）进行分类。-Classify using (a very simple implementation of) the support vector machine algorithm
Text-classify
- 用朴素贝叶斯和支持向量机SVM的两种文本文类实验-Two text of this article class experiment with naive Bayes and support vector machines SVM
SVM
- 利用SVM对数据进行分类，并且有详细可视化功能-Use SVM to classify the data, and detailed visualization capabilities
svm
- 这是一个svm分类器的设计，有很好的效果，可以输入几个分类特征进行分类-This is a svm classifier design, with very good results, you can enter several categories to classify features
classify
- SVM的数据分类预测——意大利葡萄酒种类识别-SVM prediction data classification- Italian wines Recognition
SVM
- 用于与支持支持向量机的方法将数据数据分类用于 MATLAB程序(Used in conjunction with methods that support support vector machines to classify data data for MATLAB programs)
SVM
- 运用SVM训练分类,并给出标准化以及网络搜索方法确定SVM各参数(use SVM to train and classify samples)
svm
- 人工智能导论作业，用SVM方法实现的水杯图片分类，并生成loss的下降趋势图(Homework of AI. Using SVM to classify images of cups and bottles.)
SVM
- 使用SVM对数据进行分类，可参考对SVM原理的讲解对代码及其算法进行进一步理解。(Using the SVM to classify the data, we can refer to the explanation of the SVM principle to further understand the code and its algorithms)
SVM
- 采用SVM高斯核，对样本进行分类，输入训练集和测试集，输出SVM分类准确率，采用10折交叉验证(This matlab code uses the SVM(support Vector Machine)to classify, and as the same time it uses the cross validation mathod.)
PCA+SVM
- 采用经典的ORL人脸数据集，利用PCA进行进行降维，然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)
SVM做图片处理
- 使用SVM算法对CIFAR-10图片数据集进行分类，包括模型的训练，测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)
svm
- 利用支持向量机，对鸢尾花数据集进行分类。(Support vector machine is used to classify iris data set.)