代码搜索：Probabilities
找到约 751 项符合「Probabilities」的源代码
代码结果 751
www.eeworm.com/read/400577/11573204
m genclass.m
%GENCLASS Generate class frequency distribution
%
% M = GENCLASS(N,P)
%
% INPUT
% N Number (scalar)
% P Prior probabilities
%
% OUTPUT
% M Class frequency distribution
%
% DESCRIPTION
% G
www.eeworm.com/read/400577/11573206
m tree_map.m
%TREE_MAP Map a dataset by binary decision tree
%
% F = TREE_MAP(A,W)
%
% INPUT
% A Dataset
% W Decision tree mapping
%
% OUTPUT
% F Posterior probabilities
%
% DESCRIPTION
% Maps the dataset
www.eeworm.com/read/256801/11971703
m tree_map.m
%TREE_MAP Map a dataset by binary decision tree
%
% F = TREE_MAP(A,W)
%
% INPUT
% A Dataset
% W Decision tree mapping
%
% OUTPUT
% F Posterior probabilities
%
% DESCRIPTION
% Maps the dataset
www.eeworm.com/read/153543/12028770
log loaderror.log
D:\test\murder.dsc(44) warning: probabilities not defined for node 'Murder'
www.eeworm.com/read/153543/12028779
err msbn3.err
D:\test\murder.dsc(44) warning: probabilities not defined for node 'Murder'
www.eeworm.com/read/342248/12032953
c check.c
/* CHECK.C - Compute parity checks and other stats on decodings. */
/* Copyright (c) 2001 by Radford M. Neal
*
* Permission is granted for anyone to copy, use, or modify this program
* for purpo
www.eeworm.com/read/342248/12033027
c check.c
/* CHECK.C - Compute parity checks and other stats on decodings. */
/* Copyright (c) 2001 by Radford M. Neal
*
* Permission is granted for anyone to copy, use, or modify this program
* for purpo
www.eeworm.com/read/342008/12046916
m classc.m
%CLASSC Convert mapping to classifier
%
% W = classc(W)
% W = W*classc
%
% The mapping W is converted into a classifier: outputs (distances to the map)
% are converted by the sigmoid function to proba
www.eeworm.com/read/342008/12047320
m tree_map.m
%TREE_MAP Map a dataset by binary decision tree
%
% F = tree_map(A,W)
%
% Maps the dataset A by the binary decision tree classfier W on the
% [0,1] interval for each of the classes W is trained on
www.eeworm.com/read/255755/12057777
m getprior.m
%GETPRIOR Get class prior probabilities of dataset
%
% [PRIOR,LABLIST] = GETPRIOR(A)
%
% INPUT
% A Dataset
%
% OUTPUT
% PRIOR Class prior probabilities
% LABLIST Label list
%
% DESC