搜索资源列表
svm
- 数据挖掘 数据分类算法 支持向量机分类-Data mining data classification algorithm Support Vector Machine Classification
svm-light
- 根据joachims在98年提出的svm_light算法的具体实现，程序是作者joachims提供下载的-Joachims in 98 years under the proposed algorithm svm_light specific realize, procedures are available for download joachims Author
TextClassify_NB-KNN-SVM
- 支持中文分类，用了三种算法实现，svm、knn、nb-Support the Chinese classification, used the three algorithms, svm, knn, nb
svm
- 史蒂文-甘的支持向量机工具包，采用smo算法解决二次规划问题，c++编写嵌入使用-Steven- Support Vector Machines GAN toolkit smo algorithm used to solve quadratic programming problems, c++ Prepared embed the use of
svm
- 四种SVM工具箱的分类与回归算法别人的
SVM
- 这是一个有关于基于支持向量机和人工免疫的新结合算法的论文。搞这方面的可以看看！-This is a support vector machine based on artificial immune algorithm new combined paper. Engage in this area can look at!
textcategoraization
- svm算法的中文文本分类 找的很辛苦啊-SVM algorithm for classification of Chinese text is very hard to find ah
qpso-svm
- 本程序用量子行为的粒子群算法训练支持向量机，并用IRIS数据验证了该方法的有效性-This procedure acts with quantum particle swarm optimization training support vector machines, and IRIS data to verify the effectiveness of the method
Svm
- 统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具，支持向量分类（support vector classification，简称SVC）算法是一个很有发展前景的方向。-Statistical pattern recognition, linear or nonlinear regression and artificial neural network approach is an effective tool
Iris
- 模式识别,对iris数据进行分类,svm算法-Pattern recognition, classification of iris data, svm algorithm
function_pattern_CG
- 用Scilab编写的一种新颖的快速SVM算法（该算法为自己科研成果，已被发表）。该文件为TXT格式，可以复制到Scilab或Matlab下面使用。Matlab下面只需做细微语法改动。-Scilab prepared using a novel fast SVM algorithm (the algorithm for their own scientific research has been published). TXT forma
smo1forsvr
- 一种快速的SVM算法。初学者有用。MATLAB程序。-A Fast SVM algorithm. Useful for beginners. MATLAB program.
svm_math
- 专业介绍svm算法的书籍，适合有高等数学，线性代数，矩阵论，和数里统计基础的读者，他是一本全面介绍svm的书籍，从数学基础到应用，是svm学习者的一本好书。-Introduction SVM algorithm professional books, suitable for advanced mathematics, linear algebra,矩阵论, and several readers in the statistical
pso-svm
- 利用PSO优化SVM，利用分组式训练方法提高算法速度-PSO to optimize the use of SVM, the use of packet-style training methods improve algorithm speed
svm
- 支撑向量机的函数，可以用于识别、分类和分割，是很好的分类算法-Support Vector Machines function, can be used for identification, classification and segmentation, is a good classification algorithm
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-scale
- 支持向量机算法，主要是针对大规模对象进行处理-Support vector machine is targeted mainly at dealing with large-scale objects
svm-train
- 支持向量机算法训练部分，主要是针对大规模对象进行训练-Support Vector Machine training component, is mainly directed against the target of large-scale training
svm-predict
- 支持向量机算法预测部分，主要是针对大规模对象进行预测-Support Vector Machine forecast, mainly for large-scale objects to predict
svm
- 支持向量机算法java编程，主要用于识别-Support Vector Machine java programming, mainly used for identification