代码搜索：Bootstrap
找到约 2,394 项符合「Bootstrap」的源代码
代码结果 2,394
www.eeworm.com/read/285976/8796091
pm fractal.pm
# This file was automatically generated by SWIG
package Fractal;
require Exporter;
require DynaLoader;
@ISA = qw(Exporter DynaLoader);
package Fractal;
bootstrap Fractal;
1;
www.eeworm.com/read/285976/8796166
pm car.pm
package Car;
require Exporter;
require DynaLoader;
@ISA = qw(Exporter DynaLoader);
@EXPORT = qw(t);
package Car;
bootstrap Car;
1;
www.eeworm.com/read/285976/8796189
pm car.pm
package Car;
require Exporter;
require DynaLoader;
@ISA = qw(Exporter DynaLoader);
@EXPORT = qw(t);
package Car;
bootstrap Car;
1;
www.eeworm.com/read/285976/8796212
pm car.pm
package Car;
require Exporter;
require DynaLoader;
@ISA = qw(Exporter DynaLoader);
@EXPORT = qw(t);
package Car;
bootstrap Car;
1;
www.eeworm.com/read/285976/8796230
pm magic.pm
package Magic;
require Exporter;
require DynaLoader;
@ISA = qw(Exporter DynaLoader);
@EXPORT = qw(t);
package Magic;
bootstrap Magic;
1;
www.eeworm.com/read/375075/9373438
m bnbootstrap.m
function Ehat = bnBootstrap(X,Y,w,k,F,bi,nr)
% Ehat = bnBootstrap(X,Y,w,k,F,bi,nr) - Bootstrap for Boolean Network inference
%
% Function estimates the (possibly weighted) error of all predictor
www.eeworm.com/read/375075/9373448
m bnbootstrap632.m
function Ehat = bnBootstrap632(X,Y,w,k,F,bi,nr)
% Ehat = bnBootstrap632(X,Y,w,k,F,bi,nr) - .632 Bootstrap for Boolean Network inference
%
% Function estimates the (possibly weighted) error of all
www.eeworm.com/read/162188/10327557
src maxboot.src
/*
** maxboot.src MAXBoot - Bootstrapped Maximum Likelihood
**
**
** (C) Copyright 1994-1996 Aptech Systems, Inc.
** All Rights Reserved.
**
** This Software Product is PROPRIETARY SOURCE CO
www.eeworm.com/read/348694/10874344
m jackrsp.m
function[y]=jackrsp(x,h)
% y=jackrsp(x,h)
%
% The procedure known as a "Jackknife" forms a matrix of size
% (g-1)*h by g from the input vector x of length g*h. The
% input vect
www.eeworm.com/read/348694/10874372
m confinth.m
function[Lo,Up]=confinh(x,statfun,alpha,B1,varargin)
%
% [Lo,Up]=confinh(x,statfun,alpha,B1,PAR1,...)
%
% Confidence interval of the estimator of a parameter
% based on the b