搜索资源列表
gridregression
- SVM回归中用的gridregression.py函数,用它来进行参数寻优,做了一些改动适用于windows。-SVM regression using the gridregression.py function, use it to carry out parameter optimization, has done some changes to apply to windows.
svm_1
- 此程序是模拟SVM的性能,通过一个确定区域离散点,作为输入样本,用svm进行训练,然后在此输入区域中所有的点,进行判断,这个是演示的是svm 回归-This procedure is to simulate the performance of SVM, through a defined area of discrete points as input samples, with the svm training, and then enter all the po
libsvm-2.9
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包,他不但提供了编译好的可在Windows系列系统的执行文件,还提供了源代码,方便改进、修改以及在其它操作系统上应用;该软件对SVM所涉及的参数调节相对比较少,提供了很多的默认参数,利用这些默认参数可以解决很多问题;并提供了交互检验(Cross Validation)的功能。该软件包可在http://www.csie.ntu.edu.tw/~cjlin/免费获得。该软
svm-struct
- 支持向量机结构回归算法(svm-struct),一种新的回归方法,有文献和PPT,方便学习。-Support the structural regression algorithm vector machine (svm-struct), a new regression method, literature and PPT to facilitate learning.
svm
- SVM平台,操作简单、易于使用的通用SVM 软件包,可以解决分类问题(包括C- SVC、n - SVC )、回归问题(包括e - SVR、n - SVR )以及分布估计(one-class-SVM )等问题,提供了线性、多项式、径向基和S 形函数四种常用的核函数供选择。-SVM platform is a simple, easy to use, versatile SVM software package can solve classification problems (including
support-vector-machine-
- 用支持向量机svm实现分类与函数回归,其中包括svc程序,svc输出程序以及svr绘图程序-Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr
(SVM)-regression-algorithm
- 对比这么复杂的推导过程,SVM的思想确实那么简单。它不再像logistic回归一样企图去拟合样本点(中间加了一层sigmoid函数变换),而是就在样本中去找分隔线,为了评判哪条分界线更好,引入了几何间隔最大化的目标。-The derivation process of the contrast is so complex, the idea of SVM is so simple. It is no longer tried to like logistic regression fitting
SVM-regression-theory-and-control-
- 支持向量机回归理论与神经网络等非线性回归理论相比具有许多独特的优点有线性回归和非线性回归,其模型的选 择包括核的选择、容量控制以及损失函数的选择.在控制方面的研究包括非线性 时间序列 的预测及应用、系统辨识以及优化控制和学习控制等方面的研究-Support vector machine (SVM) regression theory and neural network has many unique advantages such as nonlinear regression theory
svm
- 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-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, and
myMatlabfenlei
- 一个重要的分类回归工具包,主要是SVM的应用-One important classification and regression tool kit, mainly SVM application
zhichixiangliangjifenleihanshu
- 本算法为SVM分类函数,可以用来进行模式识别、分类、以及回归分析。-The algorithm for the SVM classification function can be used for pattern recognition, classification, and regression analysis.
Taget_Detcetion_tracking
- 该项目包含特征提取,模型判别,运动建模,特征提取包含Haar-like,HOG,判别包含岭回归,SO-SVM,测试数据集为2013Tracking-Benchmake BlasketBall手动标注图像(The project includes feature extraction, model discrimination, motion modeling, feature extraction including Haar-like, HOG, discriminant inclusion