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xianzhuxingjianyan
- 文章介绍了我们常用的预测方法中的回归分析方法的显著性检验的相关知识-Knowledge of the significance test article describes our prediction method of regression analysis method
2011_7_1_49_56
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
859398
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00913592
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00941854
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
01262011
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
baker_simon_1999_3
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
pxc3876788
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
3_COCOMO08_ConstrainedRegression_NguyenSteeceBoeh
- multiple linear regression ppt
Chapter3.3
- multiple linear regression reference
MultLinReg
- multiple linear regression date model
Mult_Regression
- multiple linear regression
Time-Series-and-white-noise
- 时间序列应用实例:时间序列分解，一次直线回归于预测检验-Application examples of the time series: time series decomposition, a linear regression prediction test
m-break
- This paper considers issues related to multiple structural changes, occurring at unknown dates, in the linear regression model estimated by least squares.
Analysis-of-a-linear
- 轻松学习一元回归问题，有要的朋友可以参考一下。-Easy to learn a simple regression problem, a reference to friends.
Image-reconstruction_CS
- 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
libsvm
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用，该文本为其说明文件-The LIBSVM Taiwan University Chih- Jen Lin (Lin Chih-Jen) associate development and design of a simple, easy to use
dyzbhg.m
- 多元线性回归的算法-Multiple linear regression algorithm
chj
- 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
feeder-load-balancing
- Feeder load balancing using GRNN ( general regression neural network )