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Description: 多输出的支持向量机matlab代码, 常规的svm是单输出，这个是多输出-
Standard SVR formulation only considers the single-output problem. In the case of several output variables, other methods (neural networks, kernel ridge regression) must be deployed, but the good properties of SVR are lost: hinge-loss function and sparsity. The proposed model M-SVR extends the single-output SVR by taking into account the nonlinear relations between features but also among the output variables, which are typically inter-dependent.
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Author: 李三 |
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Description: Business cycle predictions face various sources of uncertainty and imprecision. The uncertainty is usually linguistically determined by the beliefs of decision makers. Thus, the fuzzy set theory is ideally suited to depict vague and uncertain features of business cycle redictions. Consequently, the estimation of fuzzy upper and lower bounds become an essential issue in redicting business cycles in an uncertain environment.
The support vector regression (SVR) model is a novel forecasting approach that has been successfully
used to solve time series problems. However, the SVR approach has not been widely applied in fuzzy
forecasting problems.
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Size: 265216 |
Author: Pegah |
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Description: （MATLAB）果蝇优化SVR程序具体案例分析-(MATLAB) fruit fly optimization SVR program specific case analysis
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Size: 121856 |
Author: gekao |
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Description: 这个是用SMO算法做的支持向量回归程序，语言是JAVA-This is done using the SMO support vector regression algorithm, language is JAVA
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Size: 5120 |
Author: 越南男 |
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Description: 利用SVR对上证的指数进行预测，输入数据具有良好的效果，得到的结果还是比较理想的-The use of SVM to the Shanghai index to predict the input data with good results, the result is quite satisfactory
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Size: 90112 |
Author: xuxianxing |
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Description: libsvm 是运行SVR模型的重要要素之一，所上传的资料可以在各个系统中应用-libsvm is an important element for SVR
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Size: 690176 |
Author: 李培志 |
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Description: matlab code on svm and svr
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Size: 913408 |
Author: mohammadi |
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Description: 支持向量回归是一种重要的预测技术，通过实现支持向量回归可以预测未来数据-support vector regression is an important prediction technique,we can predict future data by implementing support vector regression
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Size: 6144 |
Author: 周淑娟 |
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Description: 这一文件对于学习神经网络、支持向量机（svr）的同仁们会有很大的帮助。-This document for learning neural networks, support vector machines (svr)colleagues will be very helpful.
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Size: 5694464 |
Author: 刘小瑞 |
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Description: This script simply used Gaussian and Morlet Kernel to show you how apply LS-SVR in MATLAB
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Size: 2048 |
Author: xox |
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Description: 基于R语言的金融工程统计数据分析。包括：
1.SVR，ANNS等机器学习算法及编程；
2.ARIMA,FARIMA,GATCH等传统统计学时间序列知识点及编程；
3.风险管理相关知识以及编程；
4.数理金融相关知识以及编程等。-Statistical Analysis of Financial Engineering Based on R Language. include:
1.SVR, ANNS and other machine learning algorithms and programming
2.ARIMA, FARIMA, GATCH and other traditional statistical time series of knowledge points and programming
3. Knowledge of risk management and programming
4. Mathematical and financial knowledge and programming.
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Size: 11108352 |
Author: 张正聪 |
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Description: 基于R语言的机器学习。包括：
1.数据预处理方法以及编程；
2.SVR，ANNS,决策树，朴素贝叶斯，k-nn，k-mean等十大机器学习的算法以及编程。-Machine Learning Based on R Language. include:
1. Data preprocessing methods and programming
2.SVR, ANNS, decision tree, naive Bayes, k-nn, k-mean such as the top ten machine learning algorithms and programming.
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Size: 11821056 |
Author: 张正聪 |
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Description: LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM)
Our goal is to help users other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include-LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM)
Our goal is to help users other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include
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Size: 1321984 |
Author: carl2380 |
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Description: libsvm-3.22.rar LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM)
Our goal is to help users other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include-libsvm-3.22.rar LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM)
Our goal is to help users other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include
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Size: 839680 |
Author: carl2380 |
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Description: DEMAND PREDETERMIND FILE
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Size: 1024 |
Author: muruga |
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Description: 用于回归的支持向量机程序，改程序用python语言编写，使用前需安装libsvm-Support vector machine for regression procedure, change program written in python, using libsvm before installation
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Size: 1024 |
Author: zhuozeying |
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Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)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。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题，包括基于一对一算法的多类模式识别问题。
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Size: 1214132 |
Author: sufa2017 |
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Description: 这是一个支持向量机回归预测的代码，适合于初学者来体验svr的回归能力- U8FD9 u662F u4E00 u4E2A u652F u6301 u5411 u91CF u673A u56DE u5F52 u9884 u6D4B u7684 u4EE3 u7801 uFF0C u9002 u5408 u4E8E u521D u5B66 u8005 u6765 u4F53 U9A8Csvr u7684 u56DE u5F52 u80FD u529B
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Size: 2048 |
Author: 石晔 |
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Description: gridsearch for matlab
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Size: 3072 |
Author: Sakinah
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Description: SVM本身是针对经典的二分类问题提出的，支持向量回归机（Support Vector Regression，SVR）是支持向量在函数回归领域的应用(SVM itself is proposed for the classical two classification problem. Support Vector Regression (SVR) is the application of support vector in the field of function regression)
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Size: 152576 |
Author: jessie100
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