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经济学家winSVM是由Martin Sewell开发的一个支持向量机软件，基于MySVM的思想，能够处理pattern recognition 和regression 的问题，但不支持多分类。-Economists winSVM developed by Martin Sewell a support vector machine software, based on the idea MySVM can handle pattern recognition and regression pr
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三元非线性回归分析,对多元非线性问题提出建议-Three non-linear regression analysis, make recommendations on the multiple nonlinear
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进化算法用于多元回归分析，遗传算法结合多元回归分析，比较新颖的方法，有详细代码，欢迎大家下载~-Evolutionary algorithm for multiple regression analysis, genetic algorithm combined with multiple regression analysis, a relatively new approach, a detailed code, welcome to download ~
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SVM Multiregression for Non Linear
Channel Estimation in Multiple-Input
Multiple-Output Systems
在多输入多输出系统中的SVM多元回归非线性逼近-This paper addresses the problem of Multiple-Input Multiple-Output (MIMO) frequency non-selective
channel estimation. We d
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matlab数学建模中的15个模型的算法讲解与举例，包括灰色预测、灰色关联分析、主成分分析法、模糊聚类分析、随机模拟、多元回归模型、正交试验设计、图论、目标规划模型、马尔可夫预测方法、时间序列分析、模糊综合评价模型、层次分析模型、模糊数学方法、模拟退火算法。-15 model matlab mathematical modeling method to explain with examples, including the gray prediction, gray correlation a
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多元回归分析，通过该分析，能够较好地对数据进行回归。-Multiple regression analysis, through the analysis, can be better for data regression.
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基于多秩回归的高效图像分类算法，用于人脸识别等领域-Efficient Image Classification via Multiple Rank Regression
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基于支持向量机的人类活动识别，以日常生活中的10个活动进行识别。-Support Vector Machine (SVM) was first proposed in
1995 by Cortes and Vapnik [15] for solving classification and
regression problems. The solving strategy of SVM on the
multiple classification problems is com
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极限学习机的 python实现，可用于回归，多分类问题等。(The python coad of the extreme learning machine which can be used for regression, multiple classification problems, etc.)
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adaboost 集成多个回归算法（线性回归、岭回归、LASSO等）(Adaboost integrates multiple regression algorithms)
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