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svm-space

  • The basic principle using the branchand- bound strategy to solve the traveling salesperson optimiz

    The basic principle using the branchand- bound strategy to solve the traveling salesperson optimization problem (TSP) consists of two parts. 􀂄 There is a way to split the solution space. 􀂄 There is a way to predict a lower bound for a class of solutions. 􀂄 There is also a way to find an upper bound of an optimal solution. 􀂄 If the lower bound of a solution exceeds this upper bound, this solution cannot be optimal. Thus, we should terminate the branching associated with this solution.

    标签: salesperson principle branchand the

    上传时间: 2017-02-19

    上传用户:comua

  • documentation for optimal filtering toolbox for mathematical software package Matlab. The methods i

    documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1

    标签: documentation mathematical for filtering

    上传时间: 2014-01-20

    上传用户:changeboy

  • documentation for optimal filtering toolbox for mathematical software package Matlab. The methods i

    documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1

    标签: documentation mathematical for filtering

    上传时间: 2013-12-10

    上传用户:zxc23456789

  • SMO 源程序基于libsvm

    SMO 源程序基于libsvm,开发的支持向量机图形界面应用程序,并提供了关于C和sigma的新的参数选择方法,使得SVM的使用更加简单直观

    标签: libsvm SMO 源程序

    上传时间: 2013-12-09

    上传用户:windwolf2000

  • cordic methods describe essentially the same algorithm that with suitably chosen inputs can be used

    cordic methods describe essentially the same algorithm that with suitably chosen inputs can be used to calculate a whole range of scientific functions including sin, cos, tan, arctan, arcsin, arccos, sinh, cosh, tanh, arctanh, log, exp, square root and even multiply and divide. the method dates back to volder [1959], and due to its versatility and compactness, it made possible the microcoding of the hp35 pocket scientific calculator in 1972. here is some code to illustrate the techniques. ive split the methods into three parts linear, circular and hyperbolic. in the hp35 microcode these would be unified into one function (for space reasons). because the linear mode can perform multiply and divide, you only need add/subtract and shift to complete the implementation. you can select in the code whether to do the multiples and divides also by cordic means. other multiplies and divides are all powers of 2 (these dont count). to eliminate these too, would involve ieee hackery.

    标签: essentially algorithm describe suitably

    上传时间: 2017-03-02

    上传用户:litianchu

  • 统计模式识别工具包(统计模式识别工具包

    统计模式识别工具包(统计模式识别工具包,包含EM,SVM等方法。)

    标签: 模式识别 工具包

    上传时间: 2017-03-05

    上传用户:dsgkjgkjg

  • 该程序包实现了几个常用的模式识别分类器算法

    该程序包实现了几个常用的模式识别分类器算法,包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例,压缩包中还有两个测试数据集文件。

    标签: 程序 模式识别 分类器 算法

    上传时间: 2017-03-08

    上传用户:aeiouetla

  • 支持向量机导论(有中英版本)

    支持向量机导论(有中英版本),学习SVM的经典书籍。导师叫我看这本书。

    标签: 支持向量机 版本

    上传时间: 2017-03-14

    上传用户:youmo81

  • 这是Libsvm2.6工具的源码

    这是Libsvm2.6工具的源码,用于SVM分类和回归计算。

    标签: Libsvm 2.6 源码

    上传时间: 2013-12-17

    上传用户:LIKE

  • 本文介绍了一般贝叶斯框架通过稀疏来解决回归和经典任务中利用线性模型中参数。虽然这框架完全概括说明了

    本文介绍了一般贝叶斯框架通过稀疏来解决回归和经典任务中利用线性模型中参数。虽然这框架完全概括说明了,我们对一个特定专业的做法,这个特定专业就是我们指的“相关向量机( RVM )” 一个模型以相同的函数模型功能流行和最先进的“支持向量机”( SVM) 。我们论证了利用概率贝叶斯学习的构造,我们可以得出准确的预测模式,这个模型相比SVM大幅减少了使用基底函数,同时提供了一些其他优点。这些优点包括在效益指标的概率预测,自动估算“nuisance”参数,并利用该设施任意基函数(如:非`Mercer 的内核)

    标签: 贝叶斯 稀疏 回归 参数

    上传时间: 2014-01-02

    上传用户:dancnc