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VC++程序开发的支持向量机范例,有很强的参考价值,需要者可以使用。,VC++ program developed support vector machine model has a strong reference value can be used for those who need it.
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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 regula
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用支持向量机(SVM)来进行分类,并在matlab实验平台上进行仿真实验-Support vector machine (SVM) for classification, and on the platform in matlab simulation experiment
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遗传算法+支持向量机,非常的实用,希望对大家有用。-Genetic algorithms+ support vector machine, very useful, we want to be useful.
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这是对于工业过程中连续搅拌釜反应器用支持向量机建模的实例。预测效果很好。-This is for the industrial process of continuous stirred tank reaction used in support vector machine modeling examples. Very good prediction.
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对直推式支持向量机的较为经典的介绍,包含一些直推式学习的思想,算法-Direct Push on Support Vector Machine, introduced a more classic, contains a number of Direct Push the idea of learning, algorithm
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最小二乘支持向量机工具箱,学习支持向量机必备工具-Least squares support vector machine toolbox, an indispensable tool for learning support vector machines
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支持向量机在高光谱数据处理与分析中的应用-Support Vector Machine in hyperspectral data processing and analysis
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基于支持向量机的分类算法,整合LibSVM到weka环境-Based on support vector machine classification algorithm, integrated environment LibSVM to weka
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这是一篇关于支持向量机的故障诊断博士论文。本文主要研究和探讨将SVM算法应用于故障诊断领域需要考虑的问题和具体的算法实现。
-This is an article on the Support Vector Machine for Fault Diagnosis doctoral dissertation. In this paper, research and explore the SVM algorithm is applied to the field of fault diagno
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svm(支持向量机)能进行分类。有不同的核函数,如线性,多项式等-svm (support vector machine) can be classified. There are different kernel functions, such as linear, polynomial, etc.
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支持向量机是一种有效率数据挖掘分类工具,它做为预处理工具使用-Support vector machine is an efficient classification of data mining tools, which tools to use as a pretreatment
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神经网络中支撑向量机中psvm的MATLAB源代码程序下载-Neural Networks Support Vector Machine in the MATLAB source code psvm downloads
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基于SMO方法的支持向量机Pascal代码实现-SMO-based method of support vector machine implementation Pascal code
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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 reg
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线性支撑矢量机分类器
对模式识别问题中的线性可分问题进行分类-Linear support vector machine classifier pattern recognition problems in the linear separable classification
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multiclass support vector machine using libsvm
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非线性回归用支持向量机通用MATLAB源码-Support Vector Machine for Nonlinear Regression
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Least Square Support vector Machine implementation
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In this section, we mainly review the support vector machine system and implement it through Python
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