GitHub - weijy026a/BRML-non-OOP: My code solutions to exercises of Bayesian Reasoning and Machine Learning

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My code solutions to exercises of Bayesian Reasoning and Machine Learning

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Name		Name	Last commit message	Last commit date
Latest commit History 63 Commits
BRMLtoolkit		BRMLtoolkit
DemosExercises		DemosExercises
data		data
graphlayout		graphlayout
potentials		potentials
ruby		ruby
ARlds.m		ARlds.m
ARtrain.m		ARtrain.m
BDscore.m		BDscore.m
BMpotential.m		BMpotential.m
BayesLinReg.m		BayesLinReg.m
BayesLogRegression.m		BayesLogRegression.m
BayesLogRegressionRVM.m		BayesLogRegressionRVM.m
BayesNetScore.m		BayesNetScore.m
CRFfeature.m		CRFfeature.m
CanonVar.m		CanonVar.m
Contents.m		Contents.m
EMTotalBetaMessage.m		EMTotalBetaMessage.m
EMbeliefnet.m		EMbeliefnet.m
EMminimizeKL.m		EMminimizeKL.m
EMqTranMarginal.m		EMqTranMarginal.m
EMqUtilMarginal.m		EMqUtilMarginal.m
EMvalueTable.m		EMvalueTable.m
EntropyEmp.m		EntropyEmp.m
FA.m		FA.m
FactorConnectingVariable.m		FactorConnectingVariable.m
FactorGraph.m		FactorGraph.m
GMMem.m		GMMem.m
GPclass.m		GPclass.m
GPreg.m		GPreg.m
GaussCond.m		GaussCond.m
GibbsSample.m		GibbsSample.m
HMMbackward.m		HMMbackward.m
HMMbackwardSAR.m		HMMbackwardSAR.m
HMMem.m		HMMem.m
HMMforward.m		HMMforward.m
HMMforwardSAR.m		HMMforwardSAR.m
HMMgamma.m		HMMgamma.m
HMMsmooth.m		HMMsmooth.m
HMMsmoothSAR.m		HMMsmoothSAR.m
HMMviterbi.m		HMMviterbi.m
HebbML.m		HebbML.m
IDvars.m		IDvars.m
IPF.m		IPF.m
JTsample.m		JTsample.m
KLdiv.m		KLdiv.m
Kmeans.m		Kmeans.m
LDSbackward.m		LDSbackward.m
LDSbackwardUpdate.m		LDSbackwardUpdate.m
LDSforward.m		LDSforward.m
LDSforwardUpdate.m		LDSforwardUpdate.m
LDSlearn.m		LDSlearn.m
LDSsmooth.m		LDSsmooth.m
LDSsubspace.m		LDSsubspace.m
LICENSE.txt		LICENSE.txt
LinReg.m		LinReg.m
LogReg.m		LogReg.m
LoopyBP.m		LoopyBP.m
MDPemDeterministicPolicy.m		MDPemDeterministicPolicy.m
MDPsolve.m		MDPsolve.m
MIXprodBern.m		MIXprodBern.m
MIemp.m		MIemp.m
MaxFlow.m		MaxFlow.m
MesstoFact.m		MesstoFact.m
NaiveBayesDirichletTest.m		NaiveBayesDirichletTest.m
NaiveBayesDirichletTrain.m		NaiveBayesDirichletTrain.m
NaiveBayesTest.m		NaiveBayesTest.m
NaiveBayesTrain.m		NaiveBayesTrain.m
PCorient.m		PCorient.m
PCskeletonData.m		PCskeletonData.m
PCskeletonOracle.m		PCskeletonOracle.m
README.txt		README.txt
SARlearn.m		SARlearn.m
SLDSbackward.m		SLDSbackward.m
SLDSforward.m		SLDSforward.m
SLDSmargGauss.m		SLDSmargGauss.m
SVMtrain.m		SVMtrain.m
VariableConnectingFactor.m		VariableConnectingFactor.m
absorb.m		absorb.m
absorption.m		absorption.m
absorptionID.m		absorptionID.m
ancestors.m		ancestors.m
ancestralorder.m		ancestralorder.m
ancestralsample.m		ancestralsample.m
argmax.m		argmax.m
argmin.m		argmin.m
assign.m		assign.m
avsigmaGauss.m		avsigmaGauss.m
bar3zcolor.m		bar3zcolor.m
betaXbiggerY.m		betaXbiggerY.m
betalog.m		betalog.m
binaryMRFmap.m		binaryMRFmap.m
blanknames.m		blanknames.m
blankstates.m		blankstates.m
bucketelim.m		bucketelim.m
cap.m		cap.m
cca.m		cca.m
changevar.m		changevar.m
checkFactorGraph.m		checkFactorGraph.m
chi2test.m		chi2test.m

Repository files navigation

Please run setup.m 

help Contents

displays list of the files.

There are bugs in the Matlab JIT compiler that may prevent the code
working correctly. Setup.m will turn off the JIT compiler if it
detects a bug.

Setup also adds the graphlayout package from A.T. Cemgil to the path.

See LICENSE.txt for the license.

David Barber [email protected]
Department of Computer Science
University Collge London
November 2008