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Description: 支持向量机非线性回归通用matlab程序
支持向量机和BP神经网络非线性回归之比较研究-SVM nonlinear regression procedures common Matlab support vector machines and artificial neural networks to nonlinear In the Comparative Study
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Size: 4839 |
Author: sunwanghu |
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Description: Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
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Size: 32761 |
Author: 张真 |
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Description: Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.-Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics- Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
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Size: 31744 |
Author: 修宇 |
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Description: 支持向量机用于分类问题的演示程序，分线性与非线性两部分-support vector machines for the demonstration classification procedures, sub-linear and nonlinear part 2
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Size: 2048 |
Author: 刘浩 |
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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.
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Size: 29696 |
Author: Mountain |
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Description: 基于模糊的最小支持响亮机,用来分类效果比一些常用的要好很多.-based on fuzzy loud support of the smallest machines, used classification results than some frequently used a lot nicer.
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Size: 1024 |
Author: fujiewei |
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Description: 通常情况下是线性的分类,但在复杂情况下,要把他转换到另一空间来,以便线性的分类,
SVM有其优势,还能做非线性的波束形成.-under normal circumstances is linear classification, but in complex situations, it is necessary to change his room to another, to the linear classification, SVM has its advantages, the ability to do nonlinear beam forming.
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Size: 3072 |
Author: fujiewei |
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Description: 支持向量机非线性回归通用matlab程序
支持向量机和BP神经网络非线性回归之比较研究-SVM nonlinear regression procedures common Matlab support vector machines and artificial neural networks to nonlinear In the Comparative Study
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Size: 4096 |
Author: sunwanghu |
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Description: Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and -Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems. It can better deal with the small sample, nonlinear and
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Size: 32768 |
Author: 张真 |
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Description: 统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具，支持向量分类（support vector classification，简称SVC）算法是一个很有发展前景的方向。-Statistical pattern recognition, linear or nonlinear regression and artificial neural network approach is an effective tool for data mining, support vector classification (support vector classification, referred to as SVC) algorithm is a promising direction.
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Size: 10240 |
Author: xs |
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Description: 关于支持向量机的Matlab源代码，用于模式识别和非线性问题的程序。对于初学和不想具体了解支持向量机的很有用。-On Support Vector Machines Matlab source code for pattern recognition problems and nonlinear procedures. For beginner and do not want a specific understanding of support vector machine useful.
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Size: 124928 |
Author: kaku |
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Description: 选用支持向量机作为区分文本与非文本的分类器，支持向量机是在统计学习理论基础上发展起来的新一代学习算法，它在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势。-Use support vector machine as the distinction between text and non-text classifier, support vector machine is in statistical learning theory developed on the basis of a new generation of learning algorithm, it addresses the small sample, nonlinear and high-dimensional pattern recognition problem has shown many unique advantages.
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Size: 52224 |
Author: caoliang |
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Description: 这是一个十分完善的SVM算法。包括各种的线性核和非线性核。能够解决各种分类问题。-This is a very good SVM algorithm. Including the linear kernel and nonlinear kernel. To solve various classification problems.
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Size: 13312 |
Author: wuxin |
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Description: 支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。- Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.
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Size: 1155072 |
Author: 任修齐 |
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Description: svm线性和非线性的处理源代码。加了很多说明，希望对你有帮助-SVM linear and nonlinear processing the source code. Add a lot of shows, the hope is helpful to you
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Size: 3072 |
Author: xuezhuan |
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Description: 支撑向量机它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中。-Support vector machine to solve it in a small sample, nonlinear and high dimensional pattern recognition performance of the many unique advantages, and to promote the use of the function fitting, and other machine learning problems.
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Size: 3072 |
Author: 杰 |
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Description: Two Dimension quadratic-SVM Problem, Two Class and Separable Situation-A Tutorial on Support Vector Machines for Pattern Recognition
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Size: 19456 |
Author: bigwrl |
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Description: 用简单的代码实现了SVM,其中包括了线性、非线性以及多种kernel。(SVM is implemented with simple code, including linear, nonlinear, and a variety of kernel.)
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Size: 8192 |
Author: 极地渔翁
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Description: 包含完整的SVM算法，下载即可使用。其中包括数据集和完整的算法结构，算法结构包括数据清理、核函数升维以及SMO优化算法，可以较好实现数据非线性分类。(Contains the complete SVM algorithm and download it for use. Including the data set and the complete algorithm structure, the algorithm structure includes data cleaning, kernel function upscaling and SMO optimization algorithm, which can better achieve nonlinear data classification.)
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Size: 17408 |
Author: _柚子茶 |
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Description: 利用SVM支持向量机进行信号分类，解决非线性信号问题(SVM support vector machine is used to classify signals and solve nonlinear signal problems.)
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Size: 2048 |
Author: Tim_Melody |
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