搜索资源列表
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
svm2
- 用SMo求解svm的算法，有最大间隔还有高斯核，多项式核，得到SMO还是比较简单的算法-using SMO to solve SVM
smo_java
- 支持向量机SVM的SMO算法的JAVA实现版本, 有线性内核和非线性BRF两个内核的算法-The SMO support vector machine SVM algorithm JAVA implementation version, linear and non-linear BRF two core kernel algorithm
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
libsvm-3.22
- libsvm-3.22.rar 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 impl
764581
- 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,()
type
- 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,()