NPC algorithm for learning DAG in Bayesian network: ControlCentor.m - File Exchange

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Highlights from
NPC algorithm for learning DAG in Bayesian network

CITest_ChiTwoVar( MI, R, M, a...
ConditionallyIndependent_Mutu... VarData1,VarData2,and ConditionalData must have the same number of rows
ConstructLGObj( OriginalSampl... Input: OrigninalData
TestPathInGraph(DAG,Start,End...
npc( LGObj,a ) The PC algorithm:
ControlCentor.m
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from NPC algorithm for learning DAG in Bayesian network by Guangdi Li
NPC algorithm is designed for learning Bayesian network formed as DAG in 2001, by Steck

ControlCentor.m

%ControlCentor
% Assume we have database named as 'Training_Database'
load('C:\Documents and Settings\newstar\My Documents\MATLAB\Myprogram\TrainDatabase.mat','Training_Database');
LGObj = ConstructLGObj( Training_Database );

% Input variable includes : one object for training database, another one
% for the threshold of CI test, we assume it is 0.05

DG = npc( LGObj,0.05 )
h2 = view(biograph( DG ))

Highlights from NPC algorithm for learning DAG in Bayesian network

Highlights from
NPC algorithm for learning DAG in Bayesian network