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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: 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: 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: this a matlab coding of svm classification function.
when inputing training samples, training labels, testing samples, testing labels, and two parameters, the classification result is obtained.
linear svm and nonlinear svm can be selected.-this is a matlab coding of svm classification function. when inputing training samples, training labels, testing samples, testing labels, and two parameters, the classification result is obtained. linear svm and nonlinear svm can be selected.
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Size: 1024 |
Author: Phoenix |
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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: 模式识别领域非线性SVM分类器设计原理，代码及过程-Pattern recognition domain nonlinear SVM classifier.experimental design principle, the code and process
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Size: 278528 |
Author: 周丽梅 |
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Description: 非线性svm实现样本点的分类，并输出图像，输入数据为矩阵-Nonlinear svm to achieve a classification of the sample points, and the output image, the input data matrix
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Size: 9216 |
Author: xiaoxichanchan |
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Description: 这是非线性svm分类器的matlab代码，不仅有代码，而且有数据。-This is matlab code of a nonlinear SVM classifier , which not only has the code, but the data.
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Size: 3072 |
Author: wangzengqin |
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Description: 一个简单易学的SVM程序，包括线性和非线性SVM，并包含二维和三维图像的转化。-An easy to learn SVM procedures, including linear and nonlinear SVM, and includes the conversion of two-dimensional and three-dimensional images.
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Size: 2048 |
Author: wangxuejun |
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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: 非线性的SVM，利用核函数对所归一化后数据进行处理，得到分类结果(svm_NonLinear Nonlinear SVM, using the kernel function to normalize the data to be processed, the classification results)
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Size: 1024 |
Author: 懒洋与勤猪
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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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