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_SMO
- smo算法源代码 smo算法源代码-smo algorithm source code smo algorithm source code
SMO-implement
- 这是用C++编写的SMO算法实现,请查收。-C SMO prepared by the algorithm, please find.
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
19854799SMO-implement
- C++编写的SMO算法实现!和大家共同分享!-prepared by the SMO algorithm! And to share with you!
matlabsvm
- 实现了svm中smo算法,适合初学者学习-svm--smo
SMO
- 实现序贯最小优化算法,该算法可加速求解支持向量机问题-To achieve sequential minimal optimization algorithm that can accelerate the problem solving support vector machines
smo
- 本文件为smo算法的设计,是可以在vc++环境下运行的程序-This document smo algorithm for the design is in vc++ environment to run the program
smo
- 支持向量机大规模快速算法,适合初学者学习研究-Large-scale fast algorithm for support vector machines
SMOC
- smo算法代码,c++编程,适合初学者学习和研究使用,欢迎下载和讨论-smo Algorithm code, c++ in programming, suitable for beginners to learn and research use, welcome to download and discussion
smrMATLABcode
- smo回归算法代码,c++编程,适合初学者学习和研究使用,欢迎下载和讨论-the smo regression algorithm the code, c++ programming for beginners to learn and study the use of, welcome to download and discussion
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
c-svm.1.0
- 本工程的主要目的是创建两类的SVM分类器的动态链接库。SVM分类器用到的训练算法是SMO算法。-The main purpose of this project is a dynamic link library to create a SVM classifier of the two kind. The training algorithm of SVM classifier is used SMO algorithm.
smo_c
- 基于smo算法的支持向量机源码!!!绝对可用-SMO algorithm based on Support Vector Machines
SVR
- 这个是用SMO算法做的支持向量回归程序,语言是JAVA-This is done using the SMO support vector regression algorithm, language is JAVA
svm
- 使用smo算法实现了支持向量机的python代码(complete the svm mode and Sequential minimal optimization with python code)
SMO optimization algorithm
- SMO 优化算法 径向基核函数 代码加数据 实例 机器学习实战第六章代码(SMO optimization algorithm radial basis function)
smo-mkl
- 多核学习+SMO算法的代码实现,包括java版本、python版本和C++版本(Multiple Kernel Learning and the SMO Algorithm)
SMO_BLDC_28035
- 在28035的硬件平台下实现SMO,在CCS3.3平台下可直接编译通过。。(It can be directly compiled and passed under CCS 3.3 platform.)
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