Code_lasso
所属分类：其他
开发工具：matlab
文件大小：58KB
下载次数：8
上传日期：2018-05-29 12:22:52
上 传 者：
mitchell0310
说明： random lasso分类算法，Lasso回归和岭回归的区别在于它的惩罚项是基于L1的范数，因此，它可以将系数控制收缩到0，从而达到变量选择的效果。
(propose a computationally intensive method, the random lasso method, for variable selection in linear models.)
文件列表:
code (0, 2018-02-27)
code\Hw1_1 (0, 2018-02-27)
code\Hw1_1\Ex1.m (1926, 2018-02-27)
code\Hw1_1\Ex2.m (1464, 2018-02-27)
code\Hw1_1\Ex3.m (2237, 2018-02-27)
code\Hw1_1\Ex4.m (1983, 2018-02-27)
code\Hw1_1\Ex4_1.m (2617, 2018-02-27)
code\Hw1_1\function (0, 2018-02-27)
code\Hw1_1\function\adaptive_lasso.m (824, 2018-02-27)
code\Hw1_1\function\cv_lasso.m (1235, 2015-05-31)
code\Hw1_1\function\my_lasso.c (2789, 2015-05-31)
code\Hw1_1\function\my_lasso.mexw64 (17408, 2018-02-27)
code\Hw1_2 (0, 2018-02-27)
code\Hw1_2\Ex1.m (2030, 2018-02-27)
code\Hw1_2\Ex2.m (1360, 2018-02-27)
code\Hw1_2\Ex3.m (2133, 2018-02-27)
code\Hw1_2\Ex4.m (1877, 2018-02-27)
code\Hw1_2\Ex4_1.m (2507, 2018-02-27)
code\Hw1_2\function (0, 2018-02-27)
code\Hw1_2\function\adaptive_lasso.m (824, 2018-02-27)
code\Hw1_2\function\cv_lasso.m (1235, 2015-05-31)
code\Hw1_2\function\my_lasso.c (2789, 2015-05-31)
code\Hw1_2\function\my_lasso.mexw64 (17408, 2018-02-27)
code\Hw2 (0, 2018-02-27)
code\Hw2\Ex1.m (1979, 2018-02-27)
code\Hw2\Ex2.m (1413, 2018-02-27)
code\Hw2\Ex3.m (2186, 2018-02-27)
code\Hw2\Ex4.m (1933, 2018-02-27)
code\Hw2\Ex4_1.m (2567, 2018-02-27)
code\Hw2\function (0, 2018-02-27)
code\Hw2\function\adaptive_lasso.m (824, 2018-02-27)
code\Hw2\function\cv_lasso.m (1235, 2015-05-31)
code\Hw2\function\my_lasso.c (2789, 2015-05-31)
code\Hw2\function\my_lasso.mexw64 (17408, 2018-02-27)
code\Hw3 (0, 2018-02-27)
code\Hw3\Ex1.m (1766, 2018-02-27)
code\Hw3\Ex2.m (1200, 2018-02-27)
code\Hw3\Ex3.m (1973, 2018-02-27)
code\Hw3\Ex4.m (1697, 2018-02-27)
code\Hw3\Ex4_1.m (2352, 2018-02-27)
... ...
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