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是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類,以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
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用于在matlab中实现非线性回归的支持向量机svm算法-Used matlab to implement non-linear regression algorithm of support vector machines svm
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BP神经网络训练程序,可以用来做各种计算,如线性拟合-BP neural network training procedures can be used for various calculations, such as linear regression, etc.
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支持向量机和BP神经网络虽然都可以用来做非线性回归,但它们所基于的理论基础不同,回归的机理也不相同。支持向量机基于结构风险最小化理论,普遍认为其泛化能力要比神经网络的强。为了验证这种观点,本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块,仿真结果证实,支持向量机做非线性回归不仅泛化能力强于BP网络,而且能避免神经网络的固有缺陷——训练结果不稳定。-SVM and BP neural networks, although non-linear regr
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斯坦福大学机器学习公开课程第一讲matlab实现作业--线性回归。-Stanford Machine Learning public speaking courses matlab achieve first job- linear regression.
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针对各种机器学习,深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes:
- Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
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MATLAB 平台上实现线性回归,简单的线性回归,易于理解、入门的那种-machine learning linear regression
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Particle image segmentation and matching subroutines themselves are prepared, Stepwise linear regression, Robustness, superior performance.
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在MATLAB实现了线性回归算法,并对给定的数据做出了预测(A linear regression algorithm is implemented in MATLAB, and the prediction of the given data is made.)
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