代码搜索：parameter
找到约 10,000 项符合「parameter」的源代码
代码结果 10,000
www.eeworm.com/read/289321/8559302
m regem.m
function [X, M, C, Xerr] = regem(X, options)
%REGEM Imputation of missing values with regularized EM algorithm.
%
% [X, M, C, Xerr] = REGEM(X, OPTIONS) replaces missing values
% (NaNs) in the
www.eeworm.com/read/289321/8559307
m gcvridge.m
function h_opt = gcvridge(F, d, trS0, n, r, trSmin, options)
%GCVRIDGE Finds minimum of GCV function for ridge regression.
%
% GCVRIDGE(F, d, trS0, n, r, trSmin, OPTIONS) finds the
% regularizat
www.eeworm.com/read/288479/8630014
m rgumbel.m
function x = rgumbel(n,a,u)
%PGUMBEL Random numbers from the Gumbel distribution
%
% x = rgumbel(n, a, u)
%
% Defaults are a = 1 and m = 0. The parameter a is
% proportional to the inv
www.eeworm.com/read/288479/8630070
m qweib.m
function x = qweib(p,k,a)
%QWEIB The Weibull inverse distribution function
%
% p = qweib(p, k, a)
%
% If the scale parameter a is left out it is assumed
% to be 1.
% Copyright (
www.eeworm.com/read/288479/8630133
m dgumbel.m
function f = dgumbel(x,a,u)
%DGUMBEL The Gumbel density function
%
% f = dgumbel(x, a, u)
%
% Defaults are a = 1 and m = 0. The parameter a is
% proportional to the inverse of the stan
www.eeworm.com/read/288479/8630346
m rweib.m
function x = rweib(n,k,a)
%RWEIB Weibull random numbers
%
% x = rweib(n,k,a)
%
% If the scale parameter a is left out it is assumed
% to be 1.
% Copyright (c) Ander
www.eeworm.com/read/288479/8630412
m qgumbel.m
function x = qgumbel(p,a,u)
%PGUMBEL The Gumbel inverse distribution function
%
% x = pgumbel(p, a, u)
%
% Defaults are a = 1 and m = 0. The parameter a is
% proportional to the invers