搜索资源列表
svr
- svm 的matlab程序,是最基本的svm形式-the sourse of svm,it is the basic styple
LS-SVMlab1.5bl
- 可以供在SVM门口的初学者早日入门，这些都是最基本的SVM程序，但是也比较专业，希望有需要的人使用-SVM can be at the door for an early entry for beginners, these are the most basic SVM procedure, but more professional, I hope the person has required the use of
bisvm
- SVM分析软件,实现基本的SVM分类功能。-SVM analysis software, to achieve the basic function of the SVM classification.
Patternrecognition
- 模式识别基本方法matlab源代码，包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换。-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural network, 1_k neighbor method, editing method, feature selection and feature transformatio
SVM_Code_rar
- 支持向量机的实现程序，用于实现支持向量机基本算法的matlab代码-Support Vector Machine implementation of procedures used to implement the basic algorithm of support vector machine matlab code
WebCategorization
- web分类系统 Web文档分类是Web挖掘中最基本的技术之一,而构造一个按照兴趣分类的分类器,需要做大量的预处理工作,来收集正负的训练样例。但负例的收集是非常困难的。文章提出了一个只有正例没有负例的学习模型。该模型主要是重复执行SVM。实验表明,该学习模型对于Web文档分类的分类精度和速度都是非常理想的-web classification system for Web document classification is a Web mining, one of the most basic
svm
- SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。-The basic idea of SVM method are: the definition of the optimal linear hyperplane,
SVM
- 一份经典的支持向量机基本原理的课件，找了好久，希望对大家有帮助。-A classic basic principle of SVM courseware, looking for a long time, we want to help.
LS-SVM
- 本文主要研究 LS-SVM 算法的基本原理及基于其实现时间序列预测 的方法。针对超参数选择困难的问题，采用多级网格搜索和遗传算法的方法对 超参数的取值进行优化-This paper studies the basic principles of the LS-SVM algorithm and time series prediction based on its implementation. Difficult to select for hyper parameter, multi
Neural-network-and-SVM-courseware
- 讲述了神经网络的基础知识，顺利过渡到支持向量机这种特殊的机器学习工具。通过对本课程的学习，会充分了解到支持向量机与神经网络的区别及联系。-Tells the story of the basic knowledge of neural network, a smooth transition to the support vector machine (SVM) this kind of special machine tools. By learning this course, you wi
SVM
- 支持向量机的内容，以及基本信息，让初学者基本掌握其大概要理-The content of the support vector machine (SVM), and basic information, basic for beginners to master its about
SVM
- 基于matlab的支持向量机svm的源代码,可以实现训练及预测的一些基本功能。-Based on support vector machine svm matlab source code, you can achieve some of the basic functions of training and predictable.
svm
- 自己收集整理的一些svm基础知识，做成ppt的形式，希望对同为初学者的小伙伴们有帮助-collectting some basic knowledge of SVM, the form of PPT, hope to help friends with for beginners
SVM-face-detection
- The goal of this session is to get basic practical experience with SVM classification as well as with the visual object category detection in still images. We will consider a simple face detector based on the common “scanning-window” technique.
svm
- 这是svm的程序，运用它可以使你很快掌握svm的基本原理，对初学者很有帮助！-This is the application of SVM, with it can make you quickly grasp the basic principle of SVM, is very helpful for beginners!
activity-recognition-based-on-SVM
- 基于支持向量机的人类活动识别，以日常生活中的10个活动进行识别。-Support Vector Machine (SVM) was first proposed in 1995 by Cortes and Vapnik [15] for solving classification and regression problems. The solving strategy of SVM on the multiple classification problems is com
abc
- 1.Basic of image processing 2.RGB2HSV (not inbuilt code) 3.SVM classifier 4.detection algorithm
FLSSVM
- 对目标函数的松弛变量引入一个参数μ，优化基本的最小二乘一类支持向量机算法。同样是解决线性问题，避免了二次规划的复杂问题(A parameter min is introduced into the relaxation variable of the objective function, and the basic least squares support vector machines algorithm is optimized. It also solves the linear pr
支持向量机SVM和核函数的matlab程序集
- 主要是介绍了支持向量机的基本原理，进行了简单的编程，对初学者适用。(Mainly introduces the basic principles of support vector machines, a simple programming, for beginners.)
classifier_D
- 使用SVM分类器来预测乳腺癌病人的预后(特征选择；分类器构建)，评价模型时使用无被交叉验证，性能评价指标包括准确率，AUC，灵敏度，特异度。学会最基本的机器学习方法。可查看分发给大家的代码，以后遇到类似的问题，可用相似的思路和代码。(The SVM classifier was used to predict the prognosis of breast cancer patients (feature selection; classifier construction), and the