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SVM_lzb1p0
- svm（支持向量机）能进行分类。有不同的核函数，如线性，多项式等-svm (support vector machine) can be classified. There are different kernel functions, such as linear, polynomial, etc.
SVM_lzb1p0
- 支持向量机matlab程序 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法-Support vector machine matlab procedur
svm_matlab
- 支持向量机的matlab程序实现，可用于模式分类，模式识别-SVM matlab program can be used for pattern classification, pattern recognition
prtools
- 一个强大的统计模式识别工具箱，包含高斯分类器，高斯混合模型，主成分分析，支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification met
SVM_Training
- 基于支持向量机算法的分类程序，matlab实现。-Based on support vector machine algorithm for classification procedures, matlab realize.
Wavelet_Based_Feature_Extraction_for_SVM_for_Scree
- 支持向量机在模式识别和分类中应用广泛， 小波方法的多尺度特性也众所周知。 本文将小波和支持向量机相互结合实现特征提取。-Support vector machine in pattern recognition and classification of the application of a wide range of multi-scale wavelet method is also well-known characteristics. In this paper, wavel
vectorr
- 支持向量机,是一种用于分类的新技术.目前在语音识别中用的比较少.-Support Vector Machine is a new technology for the classification. Currently used in speech recognition is relatively small.
SVMfenlei
- 支持向量机模式分类程序,可对两类模式进行分类识别-Support vector machine pattern classification procedures, two types of models can be classified to identify
oao
- 多分类问题的支持向量机源程序一对一方法 绝对可以运行-Multi-class SVM using One-Against-One decompositionoao
pptryosu5class2
- 用支持向量机对数据进行分类，每组数据有三个特征值分为五类-Using support vector machines for data classification, each group has three eigenvalues of the data is divided into five categories
25811252GUI_PR_SVM
- 支持向量机工具箱，实现分类的算法，简单好用-Support Vector Machine Toolbox, realize the classification algorithm, easy-to-use
SVM_luzhenbo
- 支持向量机工具箱，可进行分类，预测等，实现了四种支持向量机工具箱的分类与回归算法，有实例-Support Vector Machine Toolbox, it can conduct classification, prediction and so on, implementation of the four support vector machine toolbox classification and regression algorithm, has examples of
svmclass1
- 支持向量机分类程序，Matlab6.5环境下运行.可以给大家一些帮助。-Support Vector Machine classification procedures, Matlab6.5 environment. Can give you some help.
gyy
- 从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性，提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析，选择部分重构误差较小的独立成分进行样本重构，然后基于重构后的样本同时训练多个支持向量机基分类器，最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to deal with gene expression proble
A_Study_og_Face_Recognition_Methods_Baced_on_Wavel
- 针对灰度图像，提出一种基于知识的人脸检测方法。 提出了一种给予支持向量机的人脸检测方法。 提出了一种基于小波分解的LDA人脸识别方法。 提出了一种基于小波和DCT的人脸识别方法。 提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。 -For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wa
svm
- 大师编写的支持向量机程序,我用了觉得还可以,包括分类和回归.-the process of support vector machine for regression and classification
LS_SVMlab
- 基于最小二乘法的支持向量机可以用于分类，它比传统的支持向量机方法更省时，准确率更高-Based on least squares support vector machine can be used for classification, it is than the traditional support vector machine method is more time-saving, higher accuracy
svm-classification
- 这是中科院曾力的支持向量机分类原理的ppt讲义，适合初学者。-This is the force of the Chinese Academy of Sciences has support vector machine classification principle ppt notes, suitable for beginners.
43680540Classification-MatLab-Toolbox
- 利用人工智能算法对数据进行训练，然后模式分类，里面包含支持向量机，聚类，BP网络等许多优秀的算法-The use of artificial intelligence algorithm to training data, and then pattern classification, which includes support vector machines, clustering, BP network algorithm and many other outstanding
webcat
- 这是一个100 ％纯Java库，您可以使用适用于N元 分析技术的过程分为文本文件。 该计划包括几个不同的分类算法， namelly 支持向量机，贝叶斯Logistic回归，神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归，一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项，请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gr