搜索资源列表
regression
- 支持向量机的SMO算法实现数据拟合训练的基本程序，用c++编写．
SVM-KM
- svm详细例子（包括分类，回归）等。需要的人，下载试试。多交流.我需要svm-smo的matlab源码。谁有？-SVM detailed examples (including classification, regression) and so on. Those who need it, download a try. More exchanges. Svm-smo I need the matlab source code. Who?
SMO-code
- smo算法是与svr（支持向量机回归）和svc（支持向量机分类）具有相似数学形式，并在此基础上提出的一种用于SVR的简化算法。-smo algorithm is svr (support vector machine regression) and svc (SVM) with similar mathematical form, and puts forward a simplified algorithm for SVR.
SMOSVM
- 用于svc分类， 用SMO实现SVC，并在UCI数据集Iris上进行实验,2. 可借鉴现成SVM软件包，实现回归分析。 -For svc classification, using SMO to achieve SVC, and in the UCI Iris data set on the experiment, 2. SVM can learn ready-made packages, to achieve regression analysis.
Eubank-R.-Nonparametric-Regression-and-Spline-Smo
- A introductory book about non-parametric statistics
libsvm-3.12
- matlab中的libsvm工具包，是smo支持向量机算法，可用于解决非线性的回归问题。区别于最小二乘支持向量机。-Matlab libsvm Kit is to smo support vector machine algorithm that can be used to solve nonlinear regression problems. Different from the least squares support vector machine.
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
SMO-SVR
- 这个是用SMO算法做的支持向量回归程序，有测试程序-support vector regression with SMO algorithm
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_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
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