搜索资源列表
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 main problem for high-latitude fe
Lasso
- lasso regression. It is very good to use for statics processing.
Analog_Filters_Using_Matlab
- Analog Filters Using MATLAB, by Lars Wanhammar
irls-lars-m
- irls算法matlab源码.已经经过调试。 iterative reweighted least square-irls matlab code
Trabajo-final
- Matlab LPC (short for Lars Pensjö C) is an object-oriented programming language derived from and developed originally by Lars Pensjö to facilitate MUD building on LPMuds.Though designed for game development, its flexibility has led to it bein
LARS
- Matlab code for the LARS algorithm [1], which computes the whole optimal path, by a homotopy approach, for the LAR and Lasso problem in constrained form.
LASSOaLARSa-SPCA
- Abstract There a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (
larsmatlab
- 主要是lasso和lars的MATLAB程序，其中含有例子和数据。-Mainly lasso and lars MATLAB program, which contains examples and data.
spams-matlab
- 稀疏建模工具箱，是一个为解决各种稀疏估计问题的开源优化工具箱，可实现字典学习与矩阵分解；使用LARS、快速下降法、OMP、SOMP等算法解决稀疏分解问题；使用Lasso解决结构化稀疏分解问题- Dictionary learning and matrix factorization Solving sparse decomposition problems with LARS, coordinate descent, OMP, SOMP, proximal methods Solving str
LARS算法
- 包括LARS的经典文章和实现代码（MATLAB）(Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include lasso (Least Absolute Shrinkage and Selection Operat
emlars
- Lars算法在MATLAB中的实现，也可以通过选择参数来做lasso(The implementation of the Lars algorithm in MATLAB can also be used to do lasso by selecting parameters)