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regu.rar
- ere we provide codes for a very powerful Lanczos based hybrid iterative method that can be used for large scale linear ill-posed inverse problems. The method will automatically choose [Tikhonov] regularization parameters, and automatically determ
xuejigl
- 学籍管理系统，作为计算机应用的一部分，使用计算机对访客的管理，具有手工管理无法比拟的优点，如：检索迅速、查找方便、可靠性高、存储量大、保密性好、寿命长、成本低等，这些优点能够极大的提高学籍管理的效率，也是科学化、正规化的体现。因此，开发这样的软件系统是很必要的。-School management system, as part of computer applications, the use of computers for the management of visitors, can n
Tikhonov_Regularization_for_super_resolution
- 利用Tikhonov正则化实现的超分辨率图像序列的重建，效果还好-Use Tikhonov regularization to achieve super-resolution image sequence reconstruction, better results
111
- 走时层析成像的迭代Tikhonov正则化反演研究 走时层析成像的迭代Tikhonov正则化反演研究-Go tomography by iterative Tikhonov regularization inversion study of travel time tomography by iterative Tikhonov regularization inversion of
breggularizeea
- 一种基于正则化转置的LDA matlab源代代码，能应用在人脸识别中，详细说明见readme -A transpose on behalf of the LDA matlab source code based on regularization, can be applied in face recognition, a detailed descr iption see the readme
CRFtools.zip
- CRFsuite: a fast implementation of Conditional Random Fields (CRFs) CRFSuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. The first priority of this software is to train and use CRF models as fast as possi
svmTrain
- [model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an SVM classifier and returns trained model. X is the matrix of training examples. Each row is a training example, and the jth column holds the jth feature. Y is a column
LGME
- input: param: parameters of the LMGE algorithm param.mu, param.alpha, param.beta are regularization parameters. param.p: dimension of shared subspace param.k: number of nearest neighbors for Laplacian matrix X: input data Y: ground
subspace_J21
- Input: X, training data, dim*num Y, training data labels, num*class para.alpha, para.beta, regularization parameters para.rd, reduced dimensionality Web Image Annotation via Subspace-Sparsity Collaborated Feature Selection. Zh
conv1D_04_Tikhonov
- Tikhonov正则化的很有用的MATLAB程序-Tikhonov regularization useful MATLAB program
semiparameter_sin_eg
- 关于半参数模型的补偿最小二乘法，利用三次自然样条函数构造正则化矩阵-About half the compensation method of least squares parameter model, the use of natural cubic spline function constructed regularization matrix
[VNMATH.COM]-LV-HIEUCHINH-PT-TICHPHAN-TT1-(1)
- regularization fredholm integral equation
RegexTester
- java写的一个正则化表达式检验工具，小巧实用-Regularization expression
assignment-regularization
- this source code written by matlab. Under machine learning feild. Get the data and calcuklate the cost function then regulize them. After that, plot them.
PPLapSVM
- 该代码是根据基于流行正则化和后验概率的分类模型而改写的，能够对复杂数据进行准确的分类。-The code is based on the popular regularization and posterior probability classification model and rewritten, able to accurately classify complex data.
cgsvd
- CGSVD Compact generalized SVD of a matrix pair in regularization problems. sm = cgsvd(A,L) [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] Computes the generalized SVD of the matrix pair (A,L): [ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv
auto_inversion
- 求解第一类fedholm方程，运用philips光滑化方法和正则化方法求解。-Solving equations of the first kind fedholm using philips smoothing method and regularization method to solve.
bp2
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。 在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。-Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, na
Regularization Tools Version 4.1
- matlab 正则化工具包 可以下载解压后在matlab中直接使用，解决病态方程的计算问题(Matlab regularization Toolkit)
regularization
- 软件包里面是正则化算法的一些程序，自己做了小实验验证，希望对大家能有所帮助(Software package is a regularization algorithm of some of the procedures, have done a small experiment verification, I hope we can help.)