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liblinear-1.94
- 线性SVM分类代码，线性分类快速准确，如果数据量大则需要内存较大-Linear SVM classification code, linear classification quickly and accurately, if a large amount of data you need to memory
ZTSBSVM
- 算法提出了 一个新的部位观测模型和一种新的减小部位状态空间的方法：（1）对人体不同部位采用不同尺寸的细胞单元计算HOG特 征，并利用线性SVM进行分类，从而提出一种新的部位观测模型；（2）利用人体部位定位的先验分布确定部位定位区域，然 后通过邻域归并和设置与部位模板的匹配度阈值进一步减小状态空间，从而提出了一种减小部位状态空间的方法。仿真 实验结果表明所提算法与传统算法相比更加有效。-Algorithm proposed site of a new observation mod
svm-linear-classification
- 用于SVM线性分类-SVM linear classification-SVM linear classification
libsvm-ranksvm-3.18
- linear svm method for version 3.18
svm_basic
- This basic classification code for linear SVM-This is basic classification code for linear SVM
SVM
- In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
svm
- 此代码是SVM进行自动识别，是自己手动编写的线性代码，有什么不对的地方，多多交流。-This code is automatically identified SVM, it is to manually write linear code, what is wrong with it, more exchanges.
svmmathematical-modeling
- 主要用标准的线性SVM解决商业银行的信贷问题，通过此程序可以学习数学建模的思想，同时也可以学习支持向量机的编程方法。-Mainly use the standard linear SVM to solve the credit problems of commercial Banks, through this program can learn the thought of mathematical modeling, but also can learn the programming me
SVM_liner_kernel
- 这是SVM算法的一个简单应用，用SVM进行线性二分类。此算法可以帮助大家从基础上认识SVM，从而进行编程。-This is a simple application of SVM algorithm, using a linear SVM binary classification. This algorithm can help you recognize the basis of SVM, which can be programmed.
SVM
- classify using one-against-one approach, SVM with linear, 3rd degree poly,RBF 7 kernel
SVM
- SVM，实现线性可分二维数据和线性不可分二维数据的分类。svm的应用：垃圾邮件的分类。-SVM, realized linearly separable two-dimensional data and linear inseparable two-dimensional data classification. svm applications: spam classification.
SVM-algorithm
- 支持向量机的线性以及非线性算法，用于实现特征的分类-linear and nonlinear algorithm for SVM, used for feature classification
svm-seg
- In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
svm
- svm线性分类器-svm linear classifier
algorithm
- 多线性SVM分类器，在实现分类的同时，能很好的聚类-Multi-linear SVM classifier to classify the same time, can be a good clustering
daSVM-master
- Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper Data augmentation for support vector machines http://ba.stat.cmu.edu/journal/2011/vol06/issue01/polson.pdf-This is a Matlab implementation of the fancy idea by Pol
HW5
- Linear SVM classifier with libsvm
HW6
- non linear svm with libsvm with RBF kernel
linear programming and svm
- 线性分类器(linear classify)
libsvm-3.20
- 根据训练数据，使用SVMlib 学习TrainLetter.txt的linear SVM models, 进而预测测试数据TestLetter.txt的分类结果(According to the training data, the TrainLetter.txt linear SVM models is learned by using SVMlib, and then the classification results of the test data TestLetter.txt are