代码搜索:bayesian
找到约 1,632 项符合「bayesian」的源代码
代码结果 1,632
www.eeworm.com/read/180138/5288754
java qualitymeasurelc.java
/**
* JBNC - Bayesian Network Classifiers Toolbox
*
* Latest release available at http://sourceforge.net/projects/jbnc/
*
* Copyright (C) 1999-2003 Jarek Sacha
*
* This program
www.eeworm.com/read/180138/5288755
java qualitymeasurelcv_loo.java
/**
* JBNC - Bayesian Network Classifiers Toolbox
*
* Latest release available at http://sourceforge.net/projects/jbnc/
*
* Copyright (C) 1999-2003 Jarek Sacha
*
* This program
www.eeworm.com/read/180138/5288756
java qualitymeasure.java
/**
* JBNC - Bayesian Network Classifiers Toolbox
*
* Latest release available at http://sourceforge.net/projects/jbnc/
*
* Copyright (C) 1999-2003 Jarek Sacha
*
* This program
www.eeworm.com/read/180138/5288757
java case.java
/**
* JBNC - Bayesian Network Classifiers Toolbox
*
* Latest release available at http://sourceforge.net/projects/jbnc/
*
* Copyright (C) 1999-2003 Jarek Sacha
*
* This program
www.eeworm.com/read/180138/5288758
java subset.java
/**
* JBNC - Bayesian Network Classifiers Toolbox
*
* Latest release available at http://sourceforge.net/projects/jbnc/
*
* Copyright (C) 1999-2003 Jarek Sacha
*
* This program
www.eeworm.com/read/180138/5288759
java entropydiscretizer.java
/**
* JBNC - Bayesian Network Classifiers Toolbox
*
* Latest release available at http://sourceforge.net/projects/jbnc/
*
* Copyright (C) 1999-2003 Jarek Sacha
*
* This program
www.eeworm.com/read/180138/5288761
java entropydiscretizertest.java
/**
* JBNC - Bayesian Network Classifiers Toolbox
*
* Latest release available at http://sourceforge.net/projects/jbnc/
*
* Copyright (C) 1999-2003 Jarek Sacha
*
* This program
www.eeworm.com/read/344585/3207682
m errbayes.m
function [e, edata, eprior] = errbayes(net, edata)
%ERRBAYES Evaluate Bayesian error function for network.
%
% Description
% E = ERRBAYES(NET, EDATA) takes a network data structure NET together
% the
www.eeworm.com/read/344585/3207849
m bay_optimize.m
function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay)
% Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference
%
%
www.eeworm.com/read/429426/1948756
py classifier.py
# Description: Read data, build naive Bayesian classifier and classify first few instances
# Category: modelling
# Uses: voting.tab
# Referenced: c_basics.htm
import orange
data = or