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
irls-lars-m
- irls算法matlab源码.已经经过调试。 iterative reweighted least square-irls matlab code
LARS-with-LASSO-modification
- 带LASSO修正的LARS算法 稀疏表示-LARS with LASSO modification Sparse Representation
lars
- LARS（套索）算法，对噪声有超强的鲁棒性-very useful
lars
- 解L1正则化回归问题（lasso）的Lars算法 -a classic algorithm for lasso called LARs——Least Angle Regression
LinearRegression
- 利用numpy库实现线性回归 并且带有正则化之后的线性回归处理功能 还有用最小角回归(LARS)算法实现了lasso回归-Numpy library implements the use of linear regression and linear regression with regularization after processing algorithms as well as the minimum angle of regression (LARS) to achieve a la
larsso-lars-examples
- LASSO 算法，lars算法,有些例程-LASSO LARS examples
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
- 最小角度回归分步算法（LARS）,是稀疏表示求解中常用的算法-LARS is a commonly used algorithm for sparse representation
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)
demo_patching
- Lars算法、矩阵相关性的测量、图像块与矩阵列的相互转化(Lars algorithm Matrix correlation measurement, mutual conversion of image blocks and matrix columns)