Inference / Decoding

Sub-module containing classes for performing precise and approximate inference in probabilistic models. More...

Collaboration diagram for Inference / Decoding:

Classes
class	DirectGraphicalModels::CDecode
	Base abstract class for random model decoding. More...
class	DirectGraphicalModels::CDecodeExact
	Exact decoding class. More...
class	DirectGraphicalModels::CInfer
	Base abstract class for random model inference. More...
class	DirectGraphicalModels::CInferChain
	Inference for chain graphs. More...
class	DirectGraphicalModels::CInferDense
	Dense Inference for Dense CRF. More...
class	DirectGraphicalModels::CInferExact
	Exact inference class. More...
class	DirectGraphicalModels::CInferLBP
	Sum product Loopy Belief Propagation inference class. More...
class	DirectGraphicalModels::CInferTree
	Inference for tree graphs (undirected graphs without loops) More...
class	DirectGraphicalModels::CInferTRW
	Tree-reweighted inference class. More...
class	DirectGraphicalModels::CInferViterbi
	Max product Viterbi inference class. More...
class	DirectGraphicalModels::CMessagePassing
	Abstract base class for message passing inference algorithmes. More...

Detailed Description

Sub-module containing classes for performing precise and approximate inference in probabilistic models.