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jiyusimfenlei
- 基于SVM的文档分类,运行平台:Visual C++ 6.0和基于libsvm的编程环境下,应用Reuters-21578语料库对系统进行评测。-SVM-based document classification, operating platforms : 6.0 and Visual C libsvm-based programming environment, Application Reuters-21578 Corpus evaluation of the system.
svm_multiclass.tar
- 用c语言写的基于SVM的多分类源码,来自康奈尔大学,性能良好
Classification.NET
- 机器学习各种分类器代码,C#。 包括AdaBoost,DecisionStump,NearestNeighbout,SVM等,包括测试数据的生成
SVM分类器
- SVM文本分类器源程序,英文界面,包含语料,没有解压缩密码-SVM text classifier source, English interface, including Corpus, not extract passwords
cao
- 利用SVM算法来进行中文文本分类像百度一样提取关键字,把一句话里的如动词、名词、形容词...分类出来-Using SVM algorithm for Chinese text categorization, like extracting keywords as Baidu, the sentence in the verbs, nouns, adjectives ... Sort out
osu_svm3.00
- 一款基于svm的程序,在windows下运行,主要用于svm分类。 -A SVM-based procedure, in the run under windows, mainly used for SVM classification.
svm_scale
- SVM代码,适用于文本分类,为学习SVM的朋友提供一个参考,共同学习。-SVM code for text classification, the study provides a reference SVM friends, learning together
svm_train
- SVM代码,适用于文本分类,为学习SVM的朋友提供一个参考,共同学习。-SVM code for text classification, the study provides a reference SVM friends, learning together
svm_toy
- SVM代码,适用于文本分类,为学习SVM的朋友提供一个参考,共同学习。-SVM code for text classification, the study provides a reference SVM friends, learning together
TextClassify
- 利用SVM算法来进行中文文本的分类,如一句话里有各种词性的词语则可以进行分类处理-Using SVM algorithm for Chinese text categorization, such as a word in a variety of terms can be part of speech classification
c-svm.1.0
- 本工程的主要目的是创建两类的SVM分类器的动态链接库。SVM分类器用到的训练算法是SMO算法。-The main purpose of this project is a dynamic link library to create a SVM classifier of the two kind. The training algorithm of SVM classifier is used SMO algorithm.
SVM
- SVM文本分类器含有demo显示。 封装后的dll文件。 很便于从数据空间角度理解SVM, 还有为编程提供有价值参考。-SVM text classifier
GLCM
- Jurkat和Ramos两类细胞光学衍射图像特征提取和分类;Visual C++语言;通用模块使用;支持向量机。-Jurkat and Ramos cells optical diffraction image feature extraction and classification Visual c++ language General module USES Support vector machine (SVM).
facedetect-test
- 基于hog特征与支持向量机的方式,使用opencv自带的haar特征分类器,检测人脸-Adapt to hog feature and support vector machine (SVM) method, based on positive and negative samples opencv training face,