aGrUM 3.2.0
a C++ library for (probabilistic) graphical models
k-order Dynamic Bayesian Networks
Collaboration diagram for k-order Dynamic Bayesian Networks:

Topics

 Generators
 Inference Algorithms for k-TBN
 Learning Algorithms for k-TBN
 Database Generation for k-TBN

Classes

class  gum::KTBNModality
 A parent's value in gum::KTBN::fillCPT(): a modality index or a modality label. More...
class  gum::KTBN< GUM_SCALAR >
 Class representing a k-order dynamic Bayesian network (k-DBN). More...

Detailed Description