搜索资源列表
svm_with_workset
- 本程序为一SVM训练程序,利用了workset可以训练大数据量样本。在workset中优化的过程中利用了SMO算法。-SVM training for a procedure, and use of WorkSet can train a large number of data samples. WorkSet were in the process of optimizing the use of the SMO algorithm.
SVM_PASCAL
- SMO方法的SVM的PASCAL实现。TXT文档-SMO of SVM PASCAL achieve. TXT files
smo_cpp
- smo是训练svm的一种快速的好方法,源代码完整,简单易懂.-svm training is a good way to fast, source code integrity, simple and understandable.
SMO_C++
- 基于smo算法的支持向量机(SVM)方法的C++实现,是模式识别技术中经典的算法.-algorithm based on the Support Vector Machine (SVM) methods of achieving C, Technology is the classic pattern recognition algorithm.
svmsmo
- 支持向量机smo算法,很好的实现SVM的算法-Seeking support vector machine algorithm, a very good achievement SVM Algorithm
SequentialMinimalOptimizationforSVM
- 简单介绍了svm算法,然后提出了改进算法smo,在数学及算法,代码方面都给出了论证。
SMO_jadeff
- svm的smo C++算法(更新2006-11-21)
Sequential_Minimal_Optimization_for_SVM
- 支持向量机(SVM)的Sequential Minimal Optimization 算法,介绍了支持向量机(SVM)和SMO算法(c++伪代码)。-Sequential Minimal Optimization for SVM
utilities
- 基于SVM的快速极小化SMO化算法程序,程序清晰易懂,易理解,可读性强,希望对同行有所帮助 -SVM-based fast minimization algorithm SMO program, the program clear and easy to understand, easy to understand, readable, and want to help peers
svm_smo
- Java实现的SVM的简化版SMO算法分类算法! 可用来学习SVM。 SMO算法的目的是找出一个函数f(x),这个函数能让我们把输入的数据x进行分类。-A simplified version of the Java implementation of the SVM SMO algorithm classification algorithm. Can be used to learn the SVM.
abalone_SVM
- 利用一个简单例子说明如何使用libsvm工具包,libsvm采用smo比传统svm速度更快-Using a simple example to illustrate how to use the libsvm kit, libsvm with SMO is faster than the traditional svm
Ssvmmsmooe
- 支持向量机smo算法,,非常好的实现SVM的算法 -Smo algorithm, support vector machine, very good implementation of SVM algorithm
svm_smo
- SVM SMO 多分类的c++源码,自己编的,可以运行-SVM SMO multiple classifiers c++ of source code, own series, you can run
JSvmLib
- java版支持多类的SVM分类器,用的是SMO算法求解,核函数是线性的,带注释。-codes of SVM in java
MySvm
- SVM的实现,采用了SMO算法,用C语言结合matlab接口实现,可在matlab下运行。如果是64位的系统,可在matlab下重新同met.-SVM with SMO
apple1
- 基于C++的支持向量机smo辨别真伪的算法代码。-To identify the authenticity of SVM based C++ smo algorithm code.
svmMLiA
- 基于最大间隔分割数据,SMO高效优化算法,在复杂数据上应用核函数(Partitioning data based on maximum separation, SMO efficient optimization algorithm, applying kernel functions to complex data)
SVM_smo_C++
- 该例程使用C++语言实现,支持向量机的SMO算法,包含标注的数据集,实现13维分类(Implement SVM-SMO algorithm using C++,including training dataset)
svmjs-master
- Support Vector Machine in Javascr ipt (SMO algorithm, supports arbitrary kernels) + GUI demo
SMO 算法实现线性 SVM 分类器,对 iris 数据集进行二分类
- 不使用sklearn库,手写实现SMO算法线性 SVM 分类器,对 iris 数据集进行二分类