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基于小波分析,使用线性回归模型来进行纹理的识别和分类,是08年IEEE TRANSACTION的经典文献。-Based on wavelet analysis, the use of linear regression model for texture identification and classification, 2008 IEEE TRANSACTION are classic literature.
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multiple linear regression date model
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This paper considers issues related to multiple structural changes, occurring at unknown dates, in the linear regression model estimated by least squares.
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合稀疏贝叶斯学习(SBL)和可压缩传感理论(CS),给出一种在噪声测量条件下重建可压缩图像的方法。该方法将cS理论中图像重建过程看作一个线性回归问题,而待重建的图像是该回归模型巾的未知权值参数;利用sBL方法对权值赋予确定的先验条件概率分布用以限制模型的复杂度,并引入超参数-
Hop sparse Bayesian learning ( SBL ) and compressible sensing theory ( CS ) , give a compressible image recon
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应用c开发实现多元线性回归的模型建立,矩阵多元线性方程的模型-The application c development of multiple linear regression model, the matrix multivariate linear equation model
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Li near r egr essi on, acti ve learning
We arriv ed at the lo gistic regression model when trying to explicitly model the uncertainty
about the lab els in a linear c la ss ifier. The same genera l modeling approach p e rmits us to
use line a
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ML estimation for linear regression model
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