Description: 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, \"The Nature of Statistical Learning Theory\", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, \"Fast training of support vector machines using sequential minimal optimization\", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, \"Estimating the Generalization Performance of a SVM Efficiently\", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it. Platform: |
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Author:金星 |
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Description: 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it. Platform: |
Size: 172032 |
Author:金星 |
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Description: 最小二乘支持向量机MATLAB实现源代码，可以用于模式识别以及回归，DEMOCLASS是使用方法示例-least squares support vector machines MATLAB source code, can be used for pattern recognition and regression, DEMOCLASS example is the use of Platform: |
Size: 716800 |
Author:刘霞 |
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Description: 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-SVM software package can solve the classification problems (including the C-SVC, n- SVC), regression (including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and other issues Platform: |
Size: 32768 |
Author:hanzeyu |
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Description: 这是一个关于最小二乘支持向量机的MATLAB仿真的例子，希望能给大家带来方便。-This is a least squares support vector machine on the MATLAB simulation examples, we hope that they will be convenient. Platform: |
Size: 31744 |
Author:蔡蓓蓓 |
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Description: 这是一个很好的支持向量机的工具包，有回归、分类、寻优等功能。-This is a very good tool for support vector machine package, there is regression, classification, finding excellent features. Platform: |
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Author:淦奔 |
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Description: 一种车牌图像校正新方法
【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机（LS-SVM）的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法：首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验结果表明,该方法简便实用,对光照、污迹等不敏感,抗干扰能力强。-New Method of a license plate image correction
Abstract caused due to camera angles, the image tilt motor vehicle license will have on its subsequent recognition of characters segmentation and adverse effects. Based on the analysis of the inclined plate model based on proposed based on least squares support vector machine (LS-SVM) of the license plate Skew new approach. By LS-SVM linear regression algorithm to strike a coordinate transformation matrix and rotate the image distortion correction. Main methods: First, the value of the two inclined plate in the image pixel is converted to two-dimensional coordinates of the sample, and construct the image data sets then the linear regression through the LS-SVM regression algorithm for the data set to strike a key parameter final , and then by the parameter is converted to reflect the tilt direction of two-dimensional image coordinate transformation matrix. The experimental results show that the method is simple and practical, to light, Platform: |
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Author:Leo |
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Description: 主要叙述在matlab环境下熟悉对svm的操作以及svm的主要特性包括分类和回归-The main narrative in the matlab environment familiar with the operation of the SVM and the main features include SVM classification and regression Platform: |
Size: 517120 |
Author:追风少年 |
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Description: matlab中的ls-svm工具包，是最小二乘支持向量机算法，可用于解决非线性的回归问题。-ls-svm tool in the Matlab package, least squares support vector machine algorithm can be used to solve nonlinear regression problems. Platform: |
Size: 114688 |
Author:王欣 |
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Description: 究基于粗糙集核优化的支持向量机(RS-SVM)在红外光谱定量中的应用。通过粗糙集分类的方
法对多组分污染气体红外光谱对应的特征波长段进行核函数初始数据的优化，再将优化后的核函数带入支
持向量机，从而将二维混合光谱信息投影到高维空间，再进行单种气体浓度的反演运算。通过采用LS-SVM
和PCA-SVM两种典型的光谱数据处理算法作对比，对五种混合气体各组分定馈分析进行比较。当光谱可
分度高时，三种方法的预测值都接近标准值，平均误差接近于0．13；而当光谱町分度低时，RS-SVM的预测
值比前两种更精确，且当待测种类越多时，该方法精度和运算时问的优势越显著。-This paper introduced the application of support vector machines(SVM)regression method based on kernel function
optimized by the rough set in the infrared spectrum quantitative calculation．According to kernel function with the rough set clas—
sification s method．the spectrum data(characteristic wavelength section)is optimized．The kernel function lcads support vector
machines．and the SVM project the two-dimensional room to the multi-dimemional room，and calculate the concentration of ev—
cry kind of gas in multi-component pollution gas．By using tWO kinds of typical spectrum data processing algorithm to make the
contrast．the comparison of five kinds of gaseous mixture various proximate analysis is carried out，and when the spectrum sepa—
rable rate iS high。the predicted values of the three methods approach the Dogmal value，and the average error iS smaller than
O．13：but when the spectrum separable rate is 10W，the RS-SVM predicted value is more precise than the first tWO kinds．Exper—
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Author:wanggen |
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Description: 最小二乘支持向量机的工具箱程序，附可运行的SVM回归的例子，还有工具箱使用说明。-Least Squares Support Vector Machine Toolbox program, you can run the example attached SVM regression, as well as kit instructions. Platform: |
Size: 635904 |
Author:杨铭 |
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Description: This a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments. -This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments. Platform: |
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Author:hifa |
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Description: 分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果，在训练的区域点。-The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The
corresponding function calls can be used for classification as well as for function estimation. The
function plotlssvm displays the simulation results of the model in the region of the training
points. Platform: |
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Author:yankee |
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Description: 最小二乘支持向量机回归，四个插入数据分别为训练输入、训练输出、测试输入、测试输出。工具包+程序(Least squares support vector regression (SVM), the four inserted data are training input, training output, test input and test output) Platform: |
Size: 123904 |
Author:FOR SVM
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Search - ls svm regression