├── 1.Intro to Bayesian Networks ├── 228_login_data.mat ├── AssignmentToIndex.m ├── ComputeJointDistribution.m ├── ComputeMarginal.m ├── ConvertNetwork.m ├── Credit_net.net ├── FactorMarginalization.m ├── FactorProduct.m ├── FactorTutorial.m ├── GetValueOfAssignment.m ├── IndexToAssignment.m ├── MonitorAssignment.m ├── ObserveEvidence.m ├── PGM_Programming_Assignment_1.pdf ├── SetValueOfAssignment.m ├── submit.m ├── submitWeb.m └── submit_input.mat ├── 2.Bayesian Network for Genetic Inheritance ├── 228_login_data.mat ├── AssignmentToIndex.m ├── FactorProduct.m ├── GetValueOfAssignment.m ├── IndexToAssignment.m ├── PA2Appendix.pdf ├── PA2Description.pdf ├── SetValueOfAssignment.m ├── childCopyGivenFreqsFactor.m ├── childCopyGivenParentalsFactor.m ├── computeSigmoid.m ├── constructDecoupledGeneticNetwork.m ├── constructGeneticNetwork.m ├── constructSigmoidPhenotypeFactor.m ├── cysticFibrosisBayesNet.net ├── cysticFibrosisBayesNetGeneCopy.net ├── generateAlleleGenotypeMappers.m ├── genotypeGivenAlleleFreqsFactor.m ├── genotypeGivenParentsGenotypesFactor.m ├── octave-core ├── phenotypeGivenCopiesFactor.m ├── phenotypeGivenGenotypeFactor.m ├── phenotypeGivenGenotypeMendelianFactor.m ├── pinterest.js ├── sampleFactorList.mat ├── sampleFactorListDecoupled.mat ├── sampleGeneticNetworks.m ├── sendToSamiam.m ├── sendToSamiamGeneCopy.m ├── sendToSamiamInfo.m ├── sendToSamiamInfoDecoupled.m ├── spinalMuscularAtrophyBayesNet.net ├── submit.m └── submitWeb.m ├── 3.Markov Networks for OCR ├── 228_login_data.mat ├── AssignmentToIndex.m ├── BuildOCRNetwork.m ├── ChooseTopSimilarityFactors.m ├── ComputeAllSimilarityFactors.m ├── ComputeEqualPairwiseFactors.m ├── ComputeImageFactor.m ├── ComputePairwiseFactors.m ├── ComputeSimilarityFactor.m ├── ComputeSingletonFactors.m ├── ComputeTripletFactors.m ├── ComputeWordPredictions.m ├── GetValueOfAssignment.m ├── ImageSimilarity.m ├── IndexToAssignment.m ├── PA3Data.mat ├── PA3Description.pdf ├── PA3Models.mat ├── PA3SampleCases.mat ├── PA3TestCases.mat ├── RunInference.m ├── ScoreModel.m ├── ScorePredictions.m ├── SerializeFactorsFg.m ├── SetValueOfAssignment.m ├── Test.txt ├── VisualizeWord.m ├── factors.fg ├── inf.log ├── inference │ ├── doinference-linux │ ├── doinference-mac │ ├── doinference.exe │ ├── inference-src.zip │ └── inference-src │ │ └── libdai │ │ ├── AUTHORS │ │ ├── ChangeLog │ │ ├── LICENSE │ │ ├── Makefile │ │ ├── Makefile.ALL │ │ ├── Makefile.CYGWIN │ │ ├── Makefile.LINUX │ │ ├── Makefile.MACOSX │ │ ├── Makefile.MACOSX64 │ │ ├── Makefile.WINDOWS │ │ ├── README │ │ ├── customdoxygen.css │ │ ├── doxygen.conf │ │ ├── examples │ │ ├── Makefile │ │ ├── doinference │ │ ├── doinference.cpp │ │ ├── example.cpp │ │ ├── example_bipgraph.cpp │ │ ├── example_bipgraph.out │ │ ├── example_imagesegmentation.cpp │ │ ├── example_img_in1.jpg │ │ ├── example_img_in2.jpg │ │ ├── example_permute.cpp │ │ ├── example_permute.out │ │ ├── example_sprinkler.cpp │ │ ├── example_sprinkler.dot │ │ ├── example_sprinkler.png │ │ ├── example_sprinkler_em.cpp │ │ ├── example_sprinkler_gibbs.cpp │ │ ├── example_varset.cpp │ │ ├── example_varset.out │ │ ├── sprinkler.em │ │ └── uai2010-aie-solver.cpp │ │ ├── include │ │ └── dai │ │ │ ├── alldai.h │ │ │ ├── bbp.h │ │ │ ├── bipgraph.h │ │ │ ├── bp.h │ │ │ ├── bp_dual.h │ │ │ ├── cbp.h │ │ │ ├── clustergraph.h │ │ │ ├── dag.h │ │ │ ├── daialg.h │ │ │ ├── decmap.h │ │ │ ├── doc.h │ │ │ ├── emalg.h │ │ │ ├── enum.h │ │ │ ├── evidence.h │ │ │ ├── exactinf.h │ │ │ ├── exceptions.h │ │ │ ├── factor.h │ │ │ ├── factorgraph.h │ │ │ ├── fbp.h │ │ │ ├── gibbs.h │ │ │ ├── graph.h │ │ │ ├── hak.h │ │ │ ├── index.h │ │ │ ├── io.h │ │ │ ├── jtree.h │ │ │ ├── lc.h │ │ │ ├── matlab │ │ │ └── matlab.h │ │ │ ├── mf.h │ │ │ ├── mr.h │ │ │ ├── prob.h │ │ │ ├── properties.h │ │ │ ├── regiongraph.h │ │ │ ├── smallset.h │ │ │ ├── treeep.h │ │ │ ├── trwbp.h │ │ │ ├── util.h │ │ │ ├── var.h │ │ │ ├── varset.h │ │ │ └── weightedgraph.h │ │ ├── matlab │ │ ├── dai.m │ │ ├── dai_potstrength.m │ │ ├── dai_readfg.m │ │ └── dai_writefg.m │ │ ├── scripts │ │ ├── convert-fastInf-DAI.pl │ │ ├── makeREADME │ │ └── regenerate-properties │ │ ├── src │ │ ├── alldai.cpp │ │ ├── bbp.cpp │ │ ├── bipgraph.cpp │ │ ├── bp.cpp │ │ ├── bp_dual.cpp │ │ ├── cbp.cpp │ │ ├── clustergraph.cpp │ │ ├── dag.cpp │ │ ├── daialg.cpp │ │ ├── decmap.cpp │ │ ├── emalg.cpp │ │ ├── evidence.cpp │ │ ├── exactinf.cpp │ │ ├── exceptions.cpp │ │ ├── factor.cpp │ │ ├── factorgraph.cpp │ │ ├── fbp.cpp │ │ ├── gibbs.cpp │ │ ├── graph.cpp │ │ ├── hak.cpp │ │ ├── io.cpp │ │ ├── jtree.cpp │ │ ├── lc.cpp │ │ ├── matlab │ │ │ ├── dai.cpp │ │ │ ├── dai_potstrength.cpp │ │ │ ├── dai_readfg.cpp │ │ │ ├── dai_writefg.cpp │ │ │ └── matlab.cpp │ │ ├── mf.cpp │ │ ├── mr.cpp │ │ ├── properties.cpp │ │ ├── regiongraph.cpp │ │ ├── treeep.cpp │ │ ├── trwbp.cpp │ │ ├── util.cpp │ │ ├── varset.cpp │ │ └── weightedgraph.cpp │ │ ├── swig │ │ ├── Makefile │ │ ├── README │ │ ├── dai.i │ │ ├── example_sprinkler.m │ │ └── example_sprinkler.py │ │ ├── tests │ │ ├── alarm.fg │ │ ├── aliases.conf │ │ ├── hoi1.fg │ │ ├── hoi2.fg │ │ ├── hoi3.fg │ │ ├── hoi4.fg │ │ ├── jtreemapbug.fg │ │ ├── maxprodbug.fg │ │ ├── maxprodbug2.fg │ │ ├── maxprodbug3.fg │ │ ├── testall │ │ ├── testall.bat │ │ ├── testbbp.cpp │ │ ├── testdai.cpp │ │ ├── testem │ │ │ ├── 2var.em │ │ │ ├── 2var.fg │ │ │ ├── 2var_data.tab │ │ │ ├── 3var.em │ │ │ ├── 3var.fg │ │ │ ├── hoi1_data.tab │ │ │ ├── hoi1_infer_f2.em │ │ │ ├── hoi1_share_f0_f1_f2.em │ │ │ ├── hoi1_share_f0_f2.em │ │ │ ├── runtests │ │ │ ├── runtests.bat │ │ │ ├── testem.cpp │ │ │ └── testem.out │ │ ├── testfast.fg │ │ ├── testfast.out │ │ ├── testregression │ │ ├── testregression.bat │ │ ├── twofactors.fg │ │ ├── unit │ │ │ ├── alldai_test.cpp │ │ │ ├── bipgraph_test.cpp │ │ │ ├── clustergraph_test.cpp │ │ │ ├── dag_test.cpp │ │ │ ├── daialg_test.cpp │ │ │ ├── enum_test.cpp │ │ │ ├── exceptions_test.cpp │ │ │ ├── factor_test.cpp │ │ │ ├── factorgraph_test.cpp │ │ │ ├── graph_test.cpp │ │ │ ├── index_test.cpp │ │ │ ├── prob_test.cpp │ │ │ ├── properties_test.cpp │ │ │ ├── regiongraph_test.cpp │ │ │ ├── smallset_test.cpp │ │ │ ├── util_test.cpp │ │ │ ├── var_test.cpp │ │ │ ├── varset_test.cpp │ │ │ └── weightedgraph_test.cpp │ │ └── zeroes1.fg │ │ └── utils │ │ ├── createfg.cpp │ │ ├── fg2dot.cpp │ │ ├── fginfo.cpp │ │ ├── uai2fg.cpp │ │ └── viewfg ├── pgm_login_data.mat ├── submit.m └── submitWeb.m ├── 4.Exact Inference ├── 228_login_data.mat ├── AssignmentToIndex.m ├── CliqueTreeCalibrate.m ├── ComputeExactMarginalsBP.m ├── ComputeInitialPotentials.m ├── ComputeJointDistribution.m ├── ComputeMarginal.m ├── CreateCliqueTree.m ├── DecodedMarginalsToChars.m ├── EliminateVar.m ├── FactorMarginalization.m ├── FactorMaxMarginalization.m ├── FactorProduct.m ├── FactorSum.m ├── GetNextCliques.m ├── GetValueOfAssignment.m ├── IndexToAssignment.m ├── MaxDecoding.m ├── ObserveEvidence.m ├── PA4Sample.mat ├── PA4Test.mat ├── ProgrammingAssignment4.pdf ├── PruneTree.m ├── SetValueOfAssignment.m ├── pgm_login_data.mat ├── submit.m ├── submitWeb.m └── test.m ├── 5.Approximate Inference ├── .email.swp ├── AssignmentToIndex.m ├── BlockLogDistribution.m ├── CheckConvergence.m ├── CliqueTreeCalibrate.m ├── ClusterGraphCalibrate.m ├── ComputeApproxMarginalsBP.m ├── ComputeExactMarginalsBP.m ├── ComputeInitialPotentials.m ├── ConstructRandNetwork.m ├── ConstructToyNetwork.m ├── CreateCliqueTree.m ├── CreateClusterGraph.m ├── EdgeToFactorCorrespondence.m ├── EliminateVar.m ├── ExtractMarginalsFromSamples.m ├── FactorMarginalization.m ├── FactorProduct.m ├── GetNextCliques.m ├── GetNextClusters.m ├── GetValueOfAssignment.m ├── GibbsTrans.m ├── IndexToAssignment.m ├── LogProbOfJointAssignment.m ├── MCMCInference.m ├── MHGibbsTrans.m ├── MHSWTrans.m ├── MHUniformTrans.m ├── NaiveGetNextClusters.m ├── ObserveEvidence.m ├── ProblemSet.m ├── ProblemSet4.mat ├── ProgrammingAssignment5.pdf ├── PruneTree.m ├── SetValueOfAssignment.m ├── SmartGetNextClusters.m ├── TestToy.m ├── VariableToFactorCorrespondence.m ├── VisualizeMCMCMarginals.m ├── VisualizeToyImageMarginals.m ├── email ├── exampleIOPA5.mat ├── gaimc │ ├── scomponents.m │ └── sparse_to_csr.m ├── octave-core ├── pgm_login_data.mat ├── rand.m ├── randi.m ├── randsample.m ├── scomponents.m ├── smooth.m ├── sparse_to_csr.m ├── submit.m ├── submit_input.mat └── testscript.m ├── 6.Decision Making ├── AssignmentToIndex.m ├── CPDFromFactor.m ├── CalculateExpectedUtilityFactor.m ├── EliminateVar.m ├── FactorMarginalization.m ├── FactorProduct.m ├── FactorSum.m ├── FullI.mat ├── GetValueOfAssignment.m ├── IndexToAssignment.m ├── MultipleUtilityI.mat ├── NormalizeCPDFactors.m ├── NormalizeFactorValues.m ├── ObserveEvidence.m ├── OptimizeLinearExpectations.m ├── OptimizeMEU.m ├── OptimizeWithJointUtility.m ├── PrintFactor.m ├── ProgrammingAssignment6.pdf ├── ReOrderVariables.m ├── SetValueOfAssignment.m ├── SimpleCalcExpectedUtility.m ├── SimpleOptimizeMEU.m ├── TestCases.m ├── TestI0.mat ├── VariableElimination.m ├── pgm_login_data.mat ├── submit.m ├── submitWeb.m └── variables.mat ├── 7.CRF Learning for OCR ├── .ComputeInitialPotentials.m.swp ├── .CreateCliqueTree.m.swp ├── .InstanceNegLogLikelihood.m.swp ├── AssignmentToIndex.m ├── CliqueTreeCalibrate.m ├── ComputeConditionedSingletonFeatures.m ├── ComputeExactMarginalsBP.m ├── ComputeInitialPotentials.m ├── ComputeJointDistribution.m ├── ComputeMarginal.m ├── ComputeUnconditionedPairFeatures.m ├── ComputeUnconditionedSingletonFeatures.m ├── CreateCliqueTree.m ├── EliminateVar.m ├── EmptyFactorStruct.m ├── EmptyFeatureStruct.m ├── FactorMarginalization.m ├── FactorMaxMarginalization.m ├── FactorProduct.m ├── FactorSum.m ├── GenerateAllFeatures.m ├── GetNextCliques.m ├── GetValueOfAssignment.m ├── IndexToAssignment.m ├── InstanceNegLogLikelihood.m ├── LRAccuracy.m ├── LRCostSGD.m ├── LRPredict.m ├── LRSearchLambdaSGD.m ├── LRTrainSGD.m ├── MaxDecoding.m ├── NumParamsForConditionedFeatures.m ├── NumParamsForUnconditionedFeatures.m ├── ObserveEvidence.m ├── PA7Description.pdf ├── Part1Lambdas.mat ├── Part2FullDataset.mat ├── Part2LogZTest.mat ├── Part2Sample.mat ├── Part2Test.mat ├── PruneTree.m ├── SetValueOfAssignment.m ├── StochasticGradientDescent.m ├── Test1X.mat ├── Test1Y.mat ├── Train1X.mat ├── Train1Y.mat ├── Train2X.mat ├── Train2Y.mat ├── Validation1X.mat ├── Validation1Y.mat ├── Validation2X.mat ├── Validation2Y.mat ├── ValidationAccuracy.mat ├── VisualizeCharacters.m ├── pgm_login_data.mat ├── pppp.m ├── sigmoid.m ├── submit.m └── submitWeb.m ├── 8.Learning Tree Structured Networks ├── ClassifyDataset.m ├── ComputeLogLikelihood.m ├── ConvertAtoG.m ├── FitGaussianParameters.m ├── FitLinearGaussianParameters.m ├── GaussianMutualInformation.m ├── LearnCPDsGivenGraph.m ├── LearnGraphAndCPDs.m ├── LearnGraphStructure.m ├── MaxSpanningTree.m ├── PA8Data.mat ├── PA8Description.pdf ├── PA8SampleCases.mat ├── SampleGaussian.m ├── SampleMultinomial.m ├── SamplePose.m ├── 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