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: Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression.
It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sification and regression. It is a Matlab versi on. Platform: |
Size: 29696 |
Author:Mountain |
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Description: 支持向量机初学者可以看看,用于可以用于C-SVM分类、?-SVM分类、?-SVM回归和?-SVM回归等问题
-Support Vector Machine beginners can see that can be used for C-SVM classification,?-SVM classification,?-SVM regression and?-SVM regression problem Platform: |
Size: 827392 |
Author:无为 |
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Description: Matlab源代码，包括支持向量机分类算法（SVC_C，SVC_Nu）,回归算法（SVR_Epsilon，SVR_Nu）,以及One-Class算法。-Matlab source code, including support vector machine classification algorithm (SVC_C, SVC_Nu), regression algorithm (SVR_Epsilon, SVR_Nu), as well as the One-Class algorithm. Platform: |
Size: 228352 |
Author:李志 |
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Description: 一维支持向量机回归以及二维支持向量机回归-One-dimensional support vector machine regression, as well as two-dimensional support vector machine regression Platform: |
Size: 235520 |
Author:赵星 |
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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: 《Support Vector Machines for classification and Regression》电子图书，模式识别:介绍SVM的经典-The term SVM is typically used to describe classification with support vector methods and support vector regression is used to describe regression with support vector methods.
SVC--support vector classification
SVR--support vector regression. Platform: |
Size: 809984 |
Author:altsu |
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Description: SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regular SVMs, however, which consider only univariate predictions like in classification and regression, SVMstruct can predict complex objects y like trees, sequences, or sets. Examples of problems with complex outputs are natural language parsing, sequence alignment in protein homology detection, and markov models for part-of-speech tagging. The SVMstruct algorithm can also be used for linear-time training of binary and multi-class SVMs under the linear kernel.
-SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X--> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regular SVMs, however, which consider only univariate predictions like in classification and regression, SVMstruct can predict complex objects y like trees, sequences, or sets. Examples of problems with complex outputs are natural language parsing, sequence alignment in protein homology detection, and markov models for part-of-speech tagging. The SVMstruct algorithm can also be used for linear-time training of binary and multi-class SVMs under the linear kernel.
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Size: 117760 |
Author:jon |
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Description: 支持向量机非线性回归通用matlab程序，本程序使用支持向量机法，实现对数据的非线性回归，核函数的设定和修改在函数内部进行，数据预处理在函数外部进行，简单易懂，希望能对大家有所帮助-Universal non-linear regression support vector machine matlab program, this program uses support vector machine method to achieve non-linear regression of data, settings and modify the kernel function within the function, the data pre-processing function externally, simple and easy to to understand, hoping to be helpful to everyone Platform: |
Size: 1024 |
Author:韩锡辉 |
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Description: ：为了提高最小二乘支持向量回归机的性能，将Morlet小波核函数引入其中，形成了最小二乘小波支
持向量回归机模型。利用待优化的参数重构模型的目标函数和约束条件，并在此基础上通过遗传算法进行参数
选择，从而提高了该模型的泛化能力。将最小二乘小波支持向量回归机应用于导弹陀螺仪的漂移趋势预测，仿真
实验结果表明了该方法的有效性和可行性，因此可以为陀螺仪的故障预报、可靠性辅助决策提供依据。-To improve the ability of least square support vector regression algorithm，a least square wavelet
support vector regression model by introducing the Morlet wavelet kernel is presented．The object function and
constraint condition are reconstructed by the parameters to be optimized．On the base of it，the model parame—
ters are optimized through genetic algorithm．As a result，the model attains the better generalization ability．
The least square wavelet support vector regression model is used tO forecast the missile gyroscope’S drift tend—
ency．The simulation experiment results indicate the feasibility and validation of the algorithm．So it can provide
basis for the gyroscope’S fault prediction and reliability aid decision． Platform: |
Size: 285696 |
Author:11 |
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