Graph Building

Sub-module containing methods for building arbitrary pairwise and dense graphical models. More...

Collaboration diagram for Graph Building:

Modules
	Graph Extensions
	A set of wrappers for building graphical models for 2D image classifaction.
	Graph Kit
	Kit (factory) for constructing Graph-related objects.

Classes
class	DirectGraphicalModels::CEdgeModelPotts
	Potts Edge Model for dense graphical models. More...
class	DirectGraphicalModels::CGraph
	Interface class for graphical models. More...
class	DirectGraphicalModels::CGraph3
	Triple graph class. More...
class	DirectGraphicalModels::CGraphDense
	Fully-connected (dense) graph class. More...
class	DirectGraphicalModels::CGraphPairwise
	Pairwise graph class. More...
class	DirectGraphicalModels::CGraphWeiss
	Pairwise graph class. More...
class	DirectGraphicalModels::IEdgeModel
	Interface class for edge models used in dense graphical models. More...
class	DirectGraphicalModels::IGraphPairwise
	Interface class for graphical models. More...

Detailed Description

Sub-module containing methods for building arbitrary pairwise and dense graphical models.

The underlying probability distributions of probabilistic models for sake of simplicity and flexibility of modeling are usually represented in a graphical form (this is why they are often called probabilistic graphical models). A probabilistic graphical model is a diagrammatic representation of a probability distribution. In such a graph there is a node for each random variable and relations between these variables are represented via graph edges.