How_to_use_the_Bayes_Net_Toolbox

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1、HowtousetheBayesNetToolboxThisdocumentationwaslastupdatedon29October2007.ClickhereforaFrenchversionofthisdocumentation(lastupdatedin2005).InstallationCreatingyourfirstBayesnetoCreatingamodelbyhandoLoadingamodelfromafileoCreatingamodelusingaGUIoGraphvisualizationInfe

2、renceoComputingmarginaldistributionsoComputingjointdistributionsoSoft/virtualevidenceoMostprobableexplanationConditionalProbabilityDistributionsoTabular(multinomial)nodesoNoisy-ornodesoOther(noisy)deterministicnodesoSoftmax(multinomiallogit)nodesoNeuralnetworknodesoRo

3、otnodesoGaussiannodesoGeneralizedlinearmodelnodesoClassification/regressiontreenodesoOthercontinuousdistributionsoSummaryofCPDtypesExamplemodelsoGaussianmixturemodelsoPCA,ICA,andallthatoMixturesofexpertsoHierarchicalmixturesofexpertsoQMRoConditionalGaussianmodelsoOthe

4、rhybridmodelsParameterlearningoLoadingdatafromafileoMaximumlikelihoodparameterestimationfromcompletedataoParameterpriorso(Sequential)BayesianparameterupdatingfromcompletedataoMaximumlikelihoodparameterestimationwithmissingvalues(EM)oParametertyingStructurelearningoEx

5、haustivesearchoK2oHill-climbingoMCMCoActivelearningoStructuralEMoVisualizingthelearnedgraphstructureoConstraint-basedmethodsInferenceenginesoJunctiontreeoVariableeliminationoGlobalinferencemethodsoQuickscoreoBeliefpropagationoSampling(MonteCarlo)oSummaryofinferenceeng

6、inesInfluencediagrams/decisionmakingDBNs,HMMs,KalmanfiltersandallthatCreatingyourfirstBayesnetTodefineaBayesnet,youmustspecifythegraphstructureandthentheparameters.Welookateachinturn,usingasimpleexample(adaptedfromRussellandNorvig,"ArtificialIntelligence:aModernAppro

7、ach",PrenticeHall,1995,p454).GraphstructureConsiderthefollowingnetwork.Tospecifythisdirectedacyclicgraph(dag),wecreateanadjacencymatrix:N=4;dag=zeros(N,N);C=1;S=2;R=3;W=4;dag(C,[RS])=1;dag(R,W)=1;dag(S,W)=1;Wehavenumberedthenodesasfollows:Cloudy=1,Sprinkler=2,Rain=3,We

8、tGrass=4.Thenodesmustalwaysbenumberedintopologicalorder,i.e.,ancestorsbeforedescendants.Foramorecomplicatedgraph,this