代码搜索:Statistical
找到约 1,108 项符合「Statistical」的源代码
代码结果 1,108
www.eeworm.com/read/371708/2779024
m contents.m
% Fisher Linear Discriminat.
%
% fld - Fisher Linear Discriminat.
% fldqp - Fisher Linear Discriminat using quadratic programming.
%
% About: Statistical Pattern Recognition Toolbox
% (C) 1999-
www.eeworm.com/read/261925/4319236
py stats.py
#! /usr/bin/env python
"""Stats.py - SpamBayes statistics class.
Classes:
Stats - provides statistical information about previous activity.
Abstract:
Provide statistics on the activity tha
www.eeworm.com/read/294611/8216555
m nanstats.m
function [me, st, md, no] = nanstats(D)
%NANSTATS Statistical operations that ignore NaNs and Infs.
%
% [mean, std, median, nans] = nanstats(D)
%
% Input and output arguments:
% D (struct) data
www.eeworm.com/read/293183/8310671
m readme.m
% PRTools3.0 December 1999
%
% PRTOOLS is a basic set of statistical pattern recognition
% tools under Matlab. Not all commands are entirely tested.
%
% It is heavily upgraded from the previous versi
www.eeworm.com/read/367875/9724831
m nanstats.m
function [me, st, md, no] = nanstats(D)
%NANSTATS Statistical operations that ignore NaNs and Infs.
%
% [mean, std, median, nans] = nanstats(D)
%
% Input and output arguments:
% D (struct) data
www.eeworm.com/read/235928/14041404
m nanstats.m
function [me, st, md, no] = nanstats(D)
%NANSTATS Statistical operations that ignore NaNs and Infs.
%
% [mean, std, median, nans] = nanstats(D)
%
% Input and output arguments:
% D (struct) data
www.eeworm.com/read/359900/10116899
m statxture.m
function t = statxture(f, scale)
%STATXTURE Computes statistical measures of texture in an image.
% T = STATXURE(F, SCALE) computes six measures of texture from an
% image (region) F. Parameter
www.eeworm.com/read/164017/10135178
m bayesdemo1.m
% BAYESDEMO1 demo how to display discriminat function for Bayes classifier.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cm
www.eeworm.com/read/161485/10404069
m test_statistics.m
% some statistical tests
imrep = 'data/';
imrep = '';
name = 'hair';
name = 'line_vertical_blurred';
name = 'sawtooth';
name = 'bwcircle';
name = 'line_vertical';
name = 'flow2';
name =
www.eeworm.com/read/159921/10587862
m bayesdemo1.m
% BAYESDEMO1 demo how to display discriminat function for Bayes classifier.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cm