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/159921/10587830
txt readme.txt
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Written Vojtech Franc (diploma thesis) 26.02.2000
% Modifi
www.eeworm.com/read/159921/10587882
m contents.m
% Statistical Pattern Recognition Toolbox.
%
% Contents
%
% bayes - (dir) Bayes classification.
% datasets - (dir) Functions for handling with data sets.
% generalp - (dir) General purpose
www.eeworm.com/read/159921/10587927
m contents.m
% Statistical learning methods.
%
% Included directories (implementing algorithms):
% minimax - (dir) Minimax learning algorithm.
% unsuper - (dir) Unsupervised learning methods, EM algori
www.eeworm.com/read/159921/10588333
m chgnum.m
function [I]=chgnum(I,oldValue,newValue)
% [I]=chgnum(I,oldValue,newValue)
%
% CHGNUM chages oldValue(s) from the vector I to
% corresponding newValue(s) and returns the result.
% In other words it
www.eeworm.com/read/159921/10588347
m dataid.m
function [id]=dataid(type)
% [id]=dataid(type)
%
% DATAID returns string identifier of the given data
% type.
%
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) C
www.eeworm.com/read/421949/10676378
m setaxis.m
function []=setaxis(handle,rect)
% function []=setaxis(handle,rect)
%
% SETAXIS sets scaling for the x- and y-axes
% on the plot with a given handle.
%
% See also AXIS.
%
% Statistical Patte
www.eeworm.com/read/421949/10676516
txt readme.txt
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Written Vojtech Franc (diploma thesis) 26.02.2000
% Modifi
www.eeworm.com/read/421949/10676570
m contents.m
% Statistical Pattern Recognition Toolbox.
%
% Contents
%
% bayes - (dir) Bayes classification.
% datasets - (dir) Functions for handling with data sets.
% generalp - (dir) General purpose
www.eeworm.com/read/421949/10676625
m contents.m
% Statistical learning methods.
%
% Included directories (implementing algorithms):
% minimax - (dir) Minimax learning algorithm.
% unsuper - (dir) Unsupervised learning methods, EM algori
www.eeworm.com/read/421949/10677002
m chgnum.m
function [I]=chgnum(I,oldValue,newValue)
% [I]=chgnum(I,oldValue,newValue)
%
% CHGNUM chages oldValue(s) from the vector I to
% corresponding newValue(s) and returns the result.
% In other words it