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/202785/15372994
c report.c
/*
* GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette
* This program may be freely copied for educational
* and research purposes. All other rights reserved.
*
* file: report
www.eeworm.com/read/201006/15418370
m summarise_results.m
function summarise_results(res, doplot),
% SUMMARISE_RESULTS Plot some figures to summarise the result struct
% Copyright (C) 1999-2004 Antti Honkela, Harri Valpola,
% and Xavier Giannakopoulos.
%
%
www.eeworm.com/read/201006/15418410
m probdist.m
function a = probdist(varargin)
% PROBDIST Create a new probability distribution
%
% Copyright (C) 1999-2000 Antti Honkela, Harri Valpola,
% and Xavier Giannakopoulos.
%
% This package comes with ABS
www.eeworm.com/read/200578/15429692
m pcaklm.m
%PCAKLM Principal Component Analysis/Karhunen-Loeve Mapping
% (PCA or MCA of overall/mean covariance matrix)
%
% [W,FRAC] = PCAKLM(TYPE,A,N)
% [W,N] = PCAKLM(TYPE,A,FRAC)
%
% INPUT
% A
www.eeworm.com/read/113480/15455242
m bootstrap.m
function [x,q] = bootstrap(actualx,y,R,Q,initVar,numSamples);
% PURPOSE : This m file performs the bootstrap algorithm (a.k.a. SIR,
% particle filter, etc.) for the model specified in the
%
www.eeworm.com/read/109447/15557355
java agentparam.java
package asm;
import java.awt.Frame;
/**
* Title: Artificial Stock Market
* Description: 人工模拟股市(来源:SFI的Swarm版本)的Java版本
* Copyright: Copyright (c) 2003
* Company: http://agents.yea
www.eeworm.com/read/109447/15557358
java agent.java
package asm;
import java.util.Vector;
/**
* Title: Artificial Stock Market
* Description: 人工模拟股市(来源:SFI的Swarm版本)的Java版本
* Copyright: Copyright (c) 2003
* Company: http://agents.ye
www.eeworm.com/read/107174/15612164
c statistics.c
/* statistics.c -- general purpose statistics functions
*
* Author: Jon Hamkins
* Last Revised: Tue Jan 30 09:51:45 PST 2001
*/
/* mean of a vector a[b..e] */
double
mean(double a[
www.eeworm.com/read/106690/15626591
m varsort.m
% varsort() - reorder ICA components, largest to smallest, by
% the size of their MEAN projected variance
% across all time points
% Usage:
% >> [windex,meanvar] = varsort(
www.eeworm.com/read/106690/15626758
m loadavg.m
% loadavg() - loading eeg average data file from Neuroscan into
% matlab.
%
% Usage:
% >> [signal, variance, chan_names, ...
% pnts, rate, xmin, xmax] = loadavg( filename )