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
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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
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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
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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 % %
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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