登录
首页 » matlab » LARS-with-LASSO-modification

LARS-with-LASSO-modification

于 2020-07-14 发布 文件大小:391KB
0 277
下载积分: 1 下载次数: 224

代码说明:

  带LASSO修正的LARS算法 稀疏表示(LARS with LASSO modification Sparse Representation)

文件列表:

LARS with LASSO modification
............................\l1范数最小化方法文献阅读报告.pdf,196757,2012-03-06
............................\LARS_with_LASSO_modification_0.4
............................\................................\asd.asv,73,2011-11-08
............................\................................\gamma1_generate.m,861,2011-11-09
............................\................................\gamma2_generate.m,570,2011-11-09
............................\................................\LARS.asv,2541,2011-11-09
............................\................................\LARS.m,2633,2011-11-09
............................\................................\lars_diabetesData.fig,35553,2011-11-10
............................\................................\lars_myown.fig,101790,2011-11-10
............................\................................\lars_plot.m,174,2011-11-08
............................\................................\LARS_test_diabetesData.m,205,2011-11-09
............................\................................\LARS_test_myown.asv,336,2011-11-08
............................\................................\LARS_test_myown.m,483,2011-11-08
............................\................................\Phi.mat,69316,2011-11-08
............................\................................\Phi_sub_generate.m,151,2011-11-08
............................\................................\residual_correlatin_vector.m,120,2011-11-06
............................\................................\standard_dictionary_model_generation.m,238,2011-11-06
............................\................................\standard_length_1.m,247,2011-11-06
............................\................................\standard_mean_zero.m,215,2011-11-06
............................\................................\standard_norm_dictionary_generate.m,212,2011-11-06
............................\................................\test_lars_diabetesData.mat,15925,2006-05-21

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • program3
    早期的圆柱绕流程序,用fortran语言编写,用来了解早期绕流流动的发展(flow around the cylinder)
    2011-06-22 16:06:03下载
    积分:1
  • Bayesian-maximum-a-posteriori
    实现贝叶斯最大后验概率计算,适合原理的研究,简单易懂。(To achieve the maximum a posteriori Bayesian probability, the principle of appropriate and easily understood.)
    2011-06-15 22:01:03下载
    积分:1
  • SGA
    一个用于学习GA的简单程序,自己编写的SGA,不是使用的工具箱函数(A simple GA for the learning process, I have written SGA, instead of using the toolbox function)
    2009-04-14 16:23:00下载
    积分:1
  • Fr_bin2dec
    converts binary sequence to decimal sequence
    2013-09-06 18:40:37下载
    积分:1
  • nonliearvibration
    说明:  非线性振动教程,学习振动的学者们必须看的东西。(Nonlinear vibration tutorial, learning vibration scholars must look at things.)
    2008-11-10 16:15:30下载
    积分:1
  • Caipiao
    新的彩票预测抄来的!真的是抄来的!真的真的真真的!(The new lottery prediction copy to Really copied! Really, really Barbara!)
    2012-07-29 16:12:47下载
    积分:1
  • norton-power-law
    牛顿幂率蠕变法则的一个子程序-是一个经典的、常用的蠕变法则,在众多领域广泛使用(Newtonian power law creep rate of a subroutine- is a classic, conventional creep law, are widely used in many fields)
    2021-04-01 20:49:08下载
    积分:1
  • leapfrog
    采用中心差分法,基于蛙跳法计算流体动力学问题(using central-time central-space and leapfrog programe for CFD simulation)
    2017-04-20 11:42:29下载
    积分:1
  • code-hxf
    浙江大学何晓飞写的数据降维基本算法,对初学者很有帮助(Zhejiang university HeXiaoFei wrote down the wiki data algorithm for beginners helpful )
    2012-03-04 18:00:07下载
    积分:1
  • na7
    Orthogonal Polynomials Approximation 数值分析,计算正交基多项式的系数 (Given a function f and a set of m >0 distinct points . You are supposed to write a function to approximate f by an orthogonal polynomial using the exact function values at the given m points with a weight assigned to each point . The total error must be no larger than a given tolerance. Format of function int OPA( double (*f)(double t), int m, double x[], double w[], double c[], double*eps ) where the function pointer double (*f)(double t) defines the function f int m is the number of points double x[] contains points double w[] contains the values of a weight function at the given points x[] double c[] contains the coefficients of the approximation polynomial double*eps is passed into the function as the tolerance for the error, and is supposed to be returned as the value of error. The function OPA is supposed to return the degree of the approximation polynomial. Note: a constant Max_n is defined so that if the total error is still not small enough when n = Ma)
    2011-11-27 11:47:21下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载