 CreateMarkovModel | [Cliques] = CreateMarkovModel(NumbVar,dim) |
| CreateTreeStructure | [Cliques] = CreateTreeStructure(MI) |
| FactAffinity | [Cliques,deep]=FactAffinity(MI,vars,sizeconstraint,p,deep) |
| FactAffinityElim | [Cliques,deep]=FactAffinityElim(MI,vars,sizeconstraint,p,deep) |
| FindMargProb | [UnivProb,BivProb]=FindMargProb(SelPop,NumbVar,Card) |
| FindNeighborhood | [Cliques] = FindNeighborhood(MI,sizeconstraint,MIthreshold) |
| LearnBN | [bnet] = LearnBNwithObjectives(k,NumbVar,Card,AuxPop,AuxFunVal,learning_params) |
| LearnFDA | [model] = LearnFDA(k,NumbVar,Card,SelPop,AuxFunVal,learning_params) |
| LearnFDAParameters | [Tables] = LearnFDAParameters(Cliques,SelPop,NumbVar,Card) |
| LearnGaussianFullModel | [model] = LearnGaussianFullModel(k,NumbVar,Card,AuxPop,AuxFunVal,learning_params) |
| LearnGaussianNetwork | [bnet] = LearnGaussianNetwork(k,NumbVar,Card,AuxPop,AuxFunVal,learning_params) |
| LearnGaussianUnivModel | [model] = LearnGaussianUnivModel(k,NumbVar,Card,AuxPop,AuxFunVal,learning_params) |
| LearnMOAModel | [model] = LearnMOAModel(k,NumbVar,Card,SelPop,AuxFunVal,learning_params) |
| LearnMOAParameters | [Tables] = LearnMOAParameters(Cliques,SelPop,NumbVar,Card) |
| LearnMOAProb | [Tables] = LearnMOAProb(Cliques,SelPop,NumbVar,N,Card) |
| LearnMargProdModel | [model] = LearnMargProdModel(k,NumbVar,Card,SelPop,AuxFunVal,learning_params) |
| LearnMixtureofFullGaussianModels | [model] = LearnMixtureofFullGaussianModels(k,NumbVar,Card,AuxPop,AuxFunVal,learning_params) |
| LearnMixtureofUnivGaussianModels | [model] = LearnMixtureofUnivGaussianModels(k,NumbVar,Card,AuxPop,AuxFunVal,learning_params) |
| LearnTModel | [model] = LearnTModel(k,NumbVar,Card,AuxPop,AuxFunVal,learning_params) |
| LearnTreeModel | [model] = LearnTreeModel(k,NumbVar,Card,SelPop,AuxFunVal,learning_params) |
Master index