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Bolasso-feature-selection-prediction
- 这个程序实现了Francis R. Bach的Bolasso算法，用于特征选取和预测。主要用于高纬度问题的特征选取，它使用了带有Bootstrap方法的自助抽样的正则化回归，并使用了Karl Skoglund的lars实现。-This procedure achieved Francis R. Bach s Bolasso algorithms for feature selection and forecasting. The mai
ANN
- BP神经网络的matlab程序（动量梯度下降算法训练 、贝叶斯正则化算法）-BP neural network matlab program
Ho_Kashyap
- Ho—Kashyap线性分类算法（MHKS）采用了支持向量机最大化间隔的思想,利用面向矩阵模式的双边正则化实现线性分类。-Ho-Kashyap linear classification algorithm (MHKS) using support vector machine to maximize the spacing of the idea, using matrix model for bilateral Regulariza
PHP
- 这是一本几乎什么都有的php书，函数介绍，正则化，cms，静态网页生成等等 而且具有教学范例，让你不会有种看懂却不会用的无力感 -This is what almost every one of the php book function, the regularization, cms, static pages generated so on with teaching and example, so that you do
LM
- 采用贝叶斯正则化算法提高bp网络的性能，即L-M优化算法-The use of Bayesian regularization algorithm to improve network performance bp, that is, LM optimization algorithm
bys
- 采用贝叶斯正则化算法提高BP网络的推广能力。在本例中，将采用两种训练方法，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。-The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two ty
REGULARIZE
- langan法射线追踪及层析矩阵求解。参数化方式为矩形网格参数化。射线追踪和层析矩阵求解过程中采用压缩存储方式，正则化约束以矩阵方式补入。-ray tracing and langan chromatography method for solving matrix. Parameterization for the parameters of the rectangular grid. Ray-tracing process chro
BPtrainlmtrainbr
- 用L-M 优化算法与贝叶斯正则化算法训练同一个样本-By LM optimization algorithm with Bayesian regularization algorithm for training with a sample
CONTIN_FORAN
- 第一类线性代数和线性积分方程的正则化解法 ，包括病态问题的解法，适用于windows和linux-A portable Fortran IV program for the regularized solution of linear algebraic and linear integral equation of the first kind,with options for linear equality and lnequa
network
- 正则化方法分类器，模式识别，matlab-Regularization method classifier, pattern recognition, matlab
irntv
- TV正则化去卷积the Iteratively Reweighted Norm algorithm for solving the generalized TV functional, which includes the L2-TV and and L1-TV problems-An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation
matlab_work
- 对单幅图像进行基于空域正则化处理，实现图像的超分辨率-Regularization of the image processing to achieve super-resolution
regularized-lda
- 正则化LDA，最新！对于图像降维与图像识别的研究有很重要的研究意义-Regularized LDA, the latest! Dimension reduction for images and image recognition of a very important research significance
P_M_AOS
- 采用AOS算法对图像做正则化P-M方程滤波，采用半隐式的方案 -AOS algorithm made use of the image of PM equation is then filtered, using semi-implicit scheme
Thresholding
- 关于统计学习正则化的阈值算法，对现有的最小二乘问题进行扩展。-On statistical learning is the threshold algorithm is based on the expansion of the existing least squares problems.
Tikhonov
- Tikhonov正则化方法的一点注记,Tikhonov正则化方法的一点注记-Tikhonov regurlarization,Tikhonov正则化方法的一点注记
Adaptivelyregularizedconstrainedtotalleast-squares
- 自适应正则化的最小二乘图像复原算法，基于一定的参考价值-Adaptive regularized least squares image restoration algorithm, based on some value
wavepenergy
- 小波包能量代码，利用db1小波将信号分解和重构，然后计算小波系数的平方，进行正则化-Wavelet packet energy code, the use db1 wavelet signal decomposition and reconstruction, and then calculate the square of wavelet coefficients, the regularization
PF_Regular
- 正则化粒子滤波程序，对SIR重采样步骤进行正则化处理，改进粒子滤波效果。-Particle filter regularization procedures, SIR resampling steps regularization, improved particle filtering.
trainlm
- 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）-Using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr)