代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/150905/12249241
m subsc.m
%SUBSC Subspace Classifier
%
% W = SUBSC(A,N)
% W = SUBSC(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Desired model dimensionality or fraction of retained
% variance per
www.eeworm.com/read/149739/12352833
m gendatb.m
%GENDATB Generation of banana shaped classes
%
% A = GENDATB(N,S)
%
% INPUT
% N number of generated samples of vector with
% number of samples per class
% S variance
www.eeworm.com/read/149739/12353541
m subsc.m
%SUBSC Subspace Classifier
%
% W = SUBSC(A,N)
% W = SUBSC(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Desired model dimensionality or fraction of retained
% variance per
www.eeworm.com/read/229018/14355665
m bstats.m
function[m,varargout] = bstats(res,varargin)
% JKNIFE Bootstrapped mean, variance and confidence interval
% INPUTS : res - array or structure array output by BSTRAP
% field - if
www.eeworm.com/read/216806/14991782
m resample_particles.m
function particles= resample_particles(particles, Nmin, doresample)
%function particles= resample_particles(particles, Nmin, doresample)
%
% Resample particles if their weight variance is such that
www.eeworm.com/read/273525/4207168
hlp mf_mean.hlp
{smcl}
{* 28mar2005}{...}
{cmd:help mata mean()}
{hline}
{* index mean()}{...}
{* index variance()}{...}
{* index quadvariance()}{...}
{* index meanvariance()}{...}
{* index quadmeanvariance()
www.eeworm.com/read/421664/2049862
java~4~ variancecreatedemo.java~4~
package variance;
public class VarianceCreateDemo {
public static void main(String[] args) {
//创建变量i1，类型是int
int
}
}
www.eeworm.com/read/393504/8281509
m resample_particles.m
function particles= resample_particles(particles, Nmin, doresample)
%function particles= resample_particles(particles, Nmin, doresample)
%
% Resample particles if their weight variance is such that
www.eeworm.com/read/367062/9785291
m aggvar.m
function H = aggvar(sequence,isplot)
%
% 'aggvar' estimate the hurst parameter of a given sequence with aggregate
% variance method.
%
% Inputs:
% sequence: the input sequence for estima
www.eeworm.com/read/267141/11191700
m periodogram estimate.m
%************原题**************************%
%Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator.
%a Compute the autocorrelation of