代码搜索：Probability
找到约 4,670 项符合「Probability」的源代码
代码结果 4,670
www.eeworm.com/read/430725/8730585
m adjcentmatrix.m
clear;
p=0.5; %the probability of the bonds
N=50; %the number of nodes is N^2
%%%%%%%%%%%%%create the adjacency matrix of a percolation network
B=zeros(N^2);
for i=1:2:(2*N-1)
f
www.eeworm.com/read/430027/8772176
1 consult.1
.EN
.TH C4.5 1
.SH NAME
.PP
consult \- classify items using a decision tree
.SH SYNOPSIS
.PP
.B consult
[ \fB-f\fR FNS ]
[ \fB-t\fR ]
.SH DESCRIPTION
.PP
.I Consult
reads a decision tree produced by c
www.eeworm.com/read/430027/8772183
1 consultr.1
.EN
.TH C4.5 1
.SH NAME
.PP
consultr \- classify items using a rule set
.SH SYNOPSIS
.PP
.B consultr
[ \fB-f\fR FNS ]
[ \fB-t\fR ]
.SH DESCRIPTION
.PP
.I Consultr
reads a rule set produced by c4.5rule
www.eeworm.com/read/385817/8787772
readme
Python-to-libsvm interface
Introduction
============
Python (http://www.python.org/) is a programming language suitable for
rapid development. This python-to-libsvm interface is developed so
users
www.eeworm.com/read/427211/8966054
m hmm_bw.m
function [a, b, pi, Lp]=hmm_bw(a0, b0, pi0, o)
%--------------------------------------------------------------------------
%Baum Welch algorithm
%
% [a, b, pi, Lp]=hmm_bw(a0, b0, pi0, o)
%
www.eeworm.com/read/283910/8980019
1 consult.1
.EN
.TH C4.5 1
.SH NAME
.PP
consult \- classify items using a decision tree
.SH SYNOPSIS
.PP
.B consult
[ \fB-f\fR FNS ]
[ \fB-t\fR ]
.SH DESCRIPTION
.PP
.I Consult
reads a decision tree produced by c
www.eeworm.com/read/283910/8980030
1 consultr.1
.EN
.TH C4.5 1
.SH NAME
.PP
consultr \- classify items using a rule set
.SH SYNOPSIS
.PP
.B consultr
[ \fB-f\fR FNS ]
[ \fB-t\fR ]
.SH DESCRIPTION
.PP
.I Consultr
reads a rule set produced by c4.5rule
www.eeworm.com/read/283068/9044470
readme
Python-to-libsvm interface
Introduction
============
Python (http://www.python.org/) is a programming language suitable for
rapid development. This python-to-libsvm interface is developed so
users
www.eeworm.com/read/282846/9056142
m getpmat.m
function P = getPmat(c,pye,nn)
% calculates a (sparse) diagonal probability matrix
%
% P = getPmat(c,pye,nn)
% c : which class
% pye : probability vector for all classes
% nn : number of points to
www.eeworm.com/read/379751/9178655
readme
Python-to-libsvm interface
Introduction
============
Python (http://www.python.org/) is a programming language suitable for
rapid development. This python-to-libsvm interface is developed so
users