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svm_light_multiclass.tar
- SVM Light的多分类源代码，尤其是可用来做文本分类。SVM（支持向量机）方法是目前已知的最优秀的分类方法之一。SVM不仅可以用来分类，也可以用来做回归。-SVM classification of more source code, in particular used to make text classification. Support Vector Machine (SVM) is currently the best k
1vsr
- svm在matlab环境下多类分类中的一对多分类器类型程序-svm in Matlab environment over classification of the one-to-many types of procedures classifier
Dev.tar
- MSVM，svm的多分类问题实现，实现语言为c-MSVM, svm realize the multi-classification problems, the realization of language as c
ordreg
- 基于MATLAB编写的SVM多分类算法程序-Based on MATLAB prepared multi-SVM classification algorithm procedure
SVM
- 支持向量机用于多分类问题的程序,可以较好地运行.-Support vector machine for multi-classification procedures, can be used to run.
svm
- 这是我自己编的一个基于svm的多分类程序，但并不是很成功，还望看了给予指点。-This is my own, a SVM-based multi-classification procedures, but not very successful, but also hope to give guidance read.
svm
- 这是在模式识别中常用的一个分类器，不过这是一个线性2分类问题，对于多分类问题，可以直接转化~-This is commonly used in pattern recognition, a classifier, but this is a linear 2 classification for multi-classification problems, can be directly translated into
libsvm-mat-2[1].89-3
- svm多分类器，包括多分类和GA算法和PSO算法优化的SVM-svm multi-classifier, including the multi-classification and GA algorithm and PSO algorithm for optimization of SVM
bsvm-2.06
- 台湾林智仁等开发的用于SVM多分类软件，包括一对多SVM、一对一SVM、DAGSVM等算法的实现-Taiwan' s Lin Zhiren, etc. for the development of SVM multi-classification software, including one to many SVM, one-SVM, DAGSVM such as Algorithm
multi-classSVM
- 总结SVM多分类的文章，从训练时间、分类时间、分类器的个数等等入手进行对比-Summary SVM multi-classification of articles, from the training time, classification time, the number of classifiers, and so begin to compare
SVM
- 这个是svm的一遍小论文 比较好 基于模糊核聚类的svm多类分类方法-svm
SVM
- SVM(支持向量机)，二分类，多分类，多分类一对一，多分类一对多训练及测试matlab代码-SVM two classes muticlasses mutioneagainstone mutioneagainstall matlab code
svm
- svm 可以实现多分类 希望对你能有帮助-svm classification can achieve more than you want to help
3class_svm_matlab
- 使用libsvm进行三分类，svm多分类可以类似编程-Use libsvm for three categories, svm classification can be more similar to programming
ensembles_pca_svm_new10v
- pca做特征降维，然后进行特征空间随机分割构造多个svm分类器，并行处理，对样本进行分类，基于特征空间的svm多分类器-using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classif
PCA-and-SVM-Face-recognition
- 采用PCA对人脸特征进行抽取，用SVM多累分类器对人脸进行识别，有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface
oao多分类支持向量机
- 多分类支持向量机算法，对初学者特别有帮助
wine
- SVM多分类算法，基于svmlib适合初学者学习(SVM multi classification algorithm, based on svmlib suitable for beginners to learn)
Sample4
- 支持svm多分类，运算时间较长，支持svm多分类的matlab代码，精度不高。(Support svm multi-classification)
SVM 多分类
- 通过一对多，和多对一的方式，将二分类svm转化成多分类分类器(Through the way of one to many and many to one, the two classification SVM is transformed into a multi classification classifier)