代码搜索：Bootstrap
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www.eeworm.com/read/139298/5803178
java perturbation_bootstrap.java
package fasbir.ensemblers;
import weka.classifiers.*;
import weka.core.*;
import java.util.Random;
/**
* Description: Bootstrap sampling perturbation method
* A perturbation method
www.eeworm.com/read/131315/5932921
c pmap_bootstrap.c
/*
* Copyright (c) 1992 OMRON Corporation.
* Copyright (c) 1991, 1993
* The Regents of the University of California. All rights reserved.
*
* This code is derived from software contributed to B
www.eeworm.com/read/131315/5933375
c pmap_bootstrap.c
/*
* Copyright (c) 1991, 1993
* The Regents of the University of California. All rights reserved.
*
* This code is derived from software contributed to Berkeley by
* the Systems Programming Gro
www.eeworm.com/read/120487/6072338
h bootstrap_tokens.h
/* A Bison parser, made by GNU Bison 1.875. */
/* Skeleton parser for Yacc-like parsing with Bison,
Copyright (C) 1984, 1989, 1990, 2000, 2001, 2002 Free Software Foundation, Inc.
This progra
www.eeworm.com/read/493206/6398524
m mean_bootstrap.m
function [mu, bias, varjack] = mean_bootstrap(data, B)
%Find the estimate of the mean, it's bias and variance using the bootstrap estimator method
%Inputs:
% data - The data from which to estimat
www.eeworm.com/read/410924/11264913
m mean_bootstrap.m
function [mu, bias, varjack] = mean_bootstrap(data, B)
%Find the estimate of the mean, it's bias and variance using the bootstrap estimator method
%Inputs:
% data - The data from which to estimat
www.eeworm.com/read/405069/11472220
m mean_bootstrap.m
function [mu, bias, varjack] = mean_bootstrap(data, B)
%Find the estimate of the mean, it's bias and variance using the bootstrap estimator method
%Inputs:
% data - The data from which to estimat
www.eeworm.com/read/257131/11948548
vhd bootstrap_rtl.vhd
--***********************************************************
-- CPU86 ROM File
-- Module Name : bootstrap
--***********************************************************
library ieee;
use ieee.
www.eeworm.com/read/131588/14136291
m mean_bootstrap.m
function [mu, bias, varjack] = mean_bootstrap(data, B)
%Find the estimate of the mean, it's bias and variance using the bootstrap estimator method
%Inputs:
% data - The data from which to estimat
www.eeworm.com/read/129915/14217703
m mean_bootstrap.m
function [mu, bias, varjack] = mean_bootstrap(data, B)
%Find the estimate of the mean, it's bias and variance using the bootstrap estimator method
%Inputs:
% data - The data from which to estimat