搜索资源列表
LogisticR
- Logistic Loss with the L1-norm Regularization
LeastR
- LeastR Least Squares Loss with the L1-norm Regularization-Least Squares Loss with the L1-norm Regularization
nnLeastR
- Least Squares Loss with the L1-norm Regularization subject to non-negative constraint
nnLogisticR
- Logistic Loss with the L1-norm Regularization subject to non-negative constraint
L1precision
- 使用MAP估计基于L1正则化的DAG，是该领域最顶尖的Kevin Murphy开发的-MAP estimation of DAG based on L1 regularization
L1General
- L1General是一个求解各种L1-正则化问题的Matalb程序。详细说明可参考：http://www.di.ens.fr/~mschmidt/Software/L1General.html -L1General is a set of Matlab routines implementing several of the available strategies for solving L1-regularization problems.
SALSA_v2.0
- 应用交替方向乘子法来求解L1正则化问题、BP问题、LASSO问题的一种算法，-Application alternating direction multiplier method to solve L1 regularization problem, BP issue LASSO problem an algorithm
predict-and-match-interal-multiple
- 地震信号处理，虚同相轴方法预测层间多次波，将数据分成上下两部分，利用相关和褶积的原理预测出层间多次波。预测信号和原始信号在相位和振幅上存在差异，用L1范数匹配法进行匹配，其中，提供了两种方法解病态方程，分别为高斯-赛德尔方法和正则化方法。-Seismic signal processing, predicte internal multiples by construct virtual events .The data is divided into two parts, using the
non-conv-regul
- 西安交通大学徐宗本院士的ppt，关于稀疏优化理论以及L1/2正则化的研究与应用-Xi an Jiaotong University, Academician Xu Zongben ppt, on sparse optimization theory and L1/2 regularization Research and Application
l1_regularized-LSP
- 压缩感知信号重构算法，基于L1正则化的重构算法，可以学习学习。-Compressed sensing signal reconstruction based on L1 regularization reconstruction algorithms ，solve l1-regularized least squares problems
sunsal
- 稀疏中的基于加权L1正则化的SUNSAL算法-The sparse based on weighted L1 regularization algorithm SUNSAL
SolveDALM
- l1正则化算法中的一种，用于计算矩阵方程(One of the L1 regularization algorithms used to compute matrix equations)