搜索资源列表
(SVM)[matlab]
- 支持向量机(SVM)实现的分类算法源码[matlab]
svm-toy
- svm实现的例子
SVM-classifier
- 用matlab实现非线性支持向量机分类器对多类进行分类。-Using matlab to achieve non-linear support vector machine classifier for multi-class classification.
SVM
- SVM分类的matlab源码实现。并提供一组数据进行仿真。-SVM classification matlab realization.
SVM
- 用matlab实现了SVM算法，并且对两类点进行了分类，给出了图形化的结果。-SVM algorithm is implemented using matlab, and two points on the classification, given the graphical result.
PCA-SVM
- 在PYTHON里面，采用LIBSVM，实现对TE数据的多类故障的分类。-In PYTHON inside, using LIBSVM, TE data to realize the classification of many types of failures.
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-for-classfication-and-regression
- 用支持向量机(SVM)实现分类与函数回归的源代码。内有实例，依湖芦画瓢即可。-Using support vector machine (SVM) classification and function to achieve the reunification of the source code. There are examples, according to Lake Lo paintings can ladle.
MATLA+svm
- 用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-SVM prepared using MATLAB source code, you can achieve the support vector machine for feature classification or extraction
SVM
- 支持向量机的MATLAB实现，能自动完成数据的分类功能。-MATLAB support vector machines to achieve, can auto-complete the classification of functional data.
demosvm
- matlab编写的svm实现多类分类的源代码，训练算法包括OAA算法、OAO 算法、BSVM2算法等。-matlab prepared svm multi-category classification of the source code, training algorithms, including OAA algorithm, OAO algorithm, BSVM2 algorithm.
SVM
- 支持向量机(SVM)实现的分类算法源码[matlab]-Support Vector Machine (SVM) classification algorithm to achieve source [matlab]
SVM
- SVM支持向量机，利用matlab语言实现，很简单，以word的形式给出--SVM support vector machine, using matlab language is very simple to word given in the form-
MATLAB-SVM-Improvement
- 快速实现预测，SVM方法改进，混沌时间序列。注意：7.0版本以上SVM数据包qp.dll不能运行，需要改。-Rapid realization of prediction, SVM method to improve, chaotic time series. Note: The 7.0 version of the above packet qp.dll SVM can not run, needs to change.
svm
- svm实现，里面包含了各种例程，对初学者非常有好处。-svm implementation, which includes various routines are very good for beginners.
SVM-hssvm1.0.1
- HSSVM是一个用超球SVM（Hyper-Sphere Support Vector Machines）模型求解多分类问题的工具包，采用Java语言实现。开发该程序的主要目的，是利用超球SVM求解模型代替传统上借助于解二分类问题的经典SVM模型来求解多分类问题。本文将论述该程序的主要实现细节，包括相关算法及设计原理的描述。-HSSVM is an ultra ball SVM (Hyper-Sphere Support Vector Machines) to solve multi-classi
Matlab-svm
- 支持向量机是一种新的回归方法，特别适用于非线性，改程序实现了支持向量机非线性回归-surport vector machine to non-linear regression
SVM
- 利用SVM实现分类器，源码，带运行结果图。(Implementation of classifier by support vector machine)
svm
- SVM支持向量机(Support Vector Machine)，使用svm实现样本分类(SVM (Support Vector Machine) classification)
SVM
- 利用三次二分类SVM实现三分类SVM，可以用自己的数据，完美运行。(Using the three-category SVM to implement the three-class SVM, you can use your own data to run perfectly.)