搜索资源列表
Chap10
- 利用 svm-light 对网页进行分类,使用轻量支持向量机速度会稍微快一些-Classification svm-light on the web, use lightweight support vector machine speed is slightly faster
biolearning
- 新的支持向量机程序,可以实现二分类,算法和模型可以编程修改-new svm tools
libsvm-mat-2.89-3[FarutoUltimate3.0pcode]
- 现在的支持向量机用于识别比较热门,所以,在这里我上传一个支持向量机的程序-Support vector machines now used to identify the more popular, so here I upload a support vector machine procedures
SVM-opencv-visual-C-6.0
- opencv中的支持向量机源程序,将日文翻译过来,中文注释,通俗易懂,比较adaboost-opencv source of support vector machines, translated to Japanese, Chinese, comments, user-friendly, more adaboost
SVM-iris
- 本人用matlab编写的支持向量机的程序,在数据集iris上进行实验,识别效果不错-I have written in with support vector machine matlab program, in experiments on the iris data set, identify good results
jibenyiqunjuleisuanfa
- 该算法,解决了不收敛的问题,聚类效果非常好(效果图如附件图片所示)。改进的蚁群算法是基于遗传算法的改进,在基本遗传算法的基础之上,加入了变异因子,产生变异,从而更快的收敛。-Basic ant clustering algorithm and its improved algorithm
svm
- 支持向量机用于对样本数据或函数的回归预测,此文件源码是用C#编写的 可以在Matlab环境下实现-Support vector machine is used to sample data or the regression function, the file C# source code is written in the Matlab environment to achieve
SVM
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Four types of support vector machine SVM toolbox classification and regression algorithm. MATLAB prepared
svm_face_recognition
- 一篇很不错的关于人脸表情识别的论文。论文提出了一种基于人脸局部特征的表情识别方法,先选取人脸重要的局部特征,对得到的局部特征进行主成分分析,然后用支持向量机( SVM)设计局部特征分类器来确定测试表情图像中局部特征,同时设计支持向量机( SVM)表情分类器,确定表情图像的所属类别。-A very good facial expression recognition on paper. This paper proposes a feature based on local expression
svm-EM
- SVM(支持向量机)和EM(最大熵)文本分类算法,压缩包中包括了测试文本(环境类和计算机类),词典,停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
DotNET2008BasedSVM
- 支持向量机用于遥感影像分类,是一种高效、高精度的人工智能分类算法-SVM is a powerful classification algorithm
svm
- svm安装包,matlab的svm安装包,支持向量机-svm pakage
gatbx
- matlab里的gatbx遗传算法工具箱,内有使用说明.适用于寻找最优点及支持向量机和神经网络的参数优化。-the gatbx genetic algorithm toolbox in matlab, with instructions for use. applied to find the most advantages and parameter optimization of support vector machines and neural networks.
SVM_vc
- vc环境下的支持向量机源码,包含了训练验证数据-vc environment source of support vector machines, including the training to verify data
Classification_OSU_SVM
- 这个程序是支持向量机的程序。用于模式识别。-this code is SVM.it is very useful.
LSSVMlabv1_8_R2009b_R2011a
- LS-SVM toolbox 里面集合了所有的最小二乘法支持向量机的工具函数,可以直接调用。-LS-SVM toolbox里面集合了所有的最小二乘法支持向量机的工具函数,可以直接调用。
SVM-usage
- 在WINDOWS XP环境下运行的支持向量机的相关软件和一些程序-algorithm for vetor-sopported machine
svm_2
- 可用于支持向量机(svm)的分类,具体用法也在其中给出,可供初学者学习使用-This can be used for the classification of support vector machine ( svm ) , the specific usage , including shows for beginners learning to use
Chih---Jen-Lin-ML-
- 林智仁06年机器学习暑期学校讲义,有助于支持向量机的学习-Chih- Jen Lin 2006 Machine Learning Summer School lectures, help to improve support vector machine learning
svm-java
- JAVA版本的支持向量机(SVM)处理器。可配置参数。-JAVA version of the Support Vector Machine (SVM) processors. Configurable parameters.