代码搜索：regularized
找到约 102 项符合「regularized」的源代码
代码结果 102
www.eeworm.com/read/359019/10170220
m4 acoldnames.m4
dnl Map old names of Autoconf macros to new regularized names.
dnl This file is part of Autoconf.
dnl Copyright (C) 1994 Free Software Foundation, Inc.
dnl
dnl This program is free software; you can r
www.eeworm.com/read/100204/15880651
m4 acoldnames.m4
dnl Map old names of Autoconf macros to new regularized names.
dnl This file is part of Autoconf.
dnl Copyright (C) 1994 Free Software Foundation, Inc.
dnl
dnl This program is free software; you can r
www.eeworm.com/read/424987/10388691
m l1_ls_nonneg.m
function [x,status,history] = l1_ls_nonneg(A,varargin)
%
% l1-Regularized Least Squares Problem Solver
%
% l1_ls solves problems of the following form:
%
% minimize ||A*x-y||^2 + lambda*sum(
www.eeworm.com/read/424987/10388698
m l1_ls.m
function [x,status,history] = l1_ls(A,varargin)
%
% l1-Regularized Least Squares Problem Solver
%
% l1_ls solves problems of the following form:
%
% minimize ||A*x-y||^2 + lambda*sum|x_i|,
%
%
www.eeworm.com/read/403838/11508909
m l1_ls.m
function [x,status,history] = l1_ls(A,varargin)
%
% l1-Regularized Least Squares Problem Solver
%
% l1_ls solves problems of the following form:
%
% minimize ||A*x-y||^2 + lambda*sum|x_i|,
%
%
www.eeworm.com/read/198077/5089759
log
20061225 930 0 4 0Administrator G:\sun\7data\grid1 = SPLINE(g:\sun\7data\feapt-clip1.shp,Elev,REGULARIZED,0.1,12,4.3021,401855.375, 4069921.25, 403052.71875, 40
www.eeworm.com/read/435480/7791271
m bdu_regularizedls_main.m
% 用多步线性化方法求解一个非线性最小二乘问题
% (Regularized least squares problem with bounded data uncertainty)
% problem formulation
% standard least squares problem:
% J1=min||Ax-b||
% solution: x=inv(A'*A)*A'*b
www.eeworm.com/read/435480/7791275
asv bdu_regularizedls_main.asv
% 用多步线性化方法求解一个非线性最小二乘问题
% (Regularized least squares problem with bounded data uncertainty)
% problem formulation
% standard least squares problem:
% J1=min||Ax-b||
% solution: x=inv(A'*A)*A'*b
www.eeworm.com/read/343753/6963603
m ttr1.m
function [w1,b1,tr,rq] = ttr1(w1,b1,f1,...
xc,P,T,VA,VAT,TE,TET,TP)
%TTR1 Trains a large feed-forward network containing no hidden layers
%the Gauss-Newton method on a Tikhonov regularized proble
www.eeworm.com/read/343753/6963606
m lttr1.m
function [w1,b1,tr,rq] = lttr1(w1,b1,f1,...
xc,P,T,VA,VAT,TE,TET,TP)
%LTTR1 Trains a large feed-forward network containing no hidden layers
%using a Tikhonov regularized truncated Gauss-Newton me