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.
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
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
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
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.
svm_smo
- 基于SMO优化算法的SVM分类程序，显示判别函数值及分类结果-SMO optimization algorithm based on SVM classification program that displays the results of the discriminant function values and classification
mysvm
- SVM,支持向量机，matlab 实现，具体实现了SMO算法，线性核，高斯核-SVM,support vector machine ,matlab implement m, In details ,implement SMO algorithm,linear kernel ,RBF kernel
svm_python
- 在机器学习领域，支持向量机SVM(Support Vector Machine)是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
simple_smo
- 这是简单的svm算法，实现其中的SMO部分，能够直接运行，可嵌入-This is a simple SVM algorithm, which can achieve the SMO part, can be directly run, can be embedded
libsvm-3.1
- LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-ty
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