Decomposable models are a subset of undirected graphical models that are built from triangulate
The present paper considers discrete probability models with exact computational properties. In rela...
The idea of graphical models is to use the language of graph theory to unify different classes of us...
<p>A graph which represents the different models generated and their respective metrics.</p
Decomposable dependency models possess a number of interesting and useful proper-ties. This paper pr...
Decomposable dependency models possess a number of interesting and useful properties. This paper pre...
Graphical models (GMs) define a family of mathematical models aimed at the concise description of mu...
<p>Graphical model representation of the decoupled context-dependent integrative clustering model.</...
Given a decomposable graph, we characterize and enumerate the set of pairs of vertices whose connect...
This theoretical paper is inspired by an integer linear programming (ILP) approach to learning the s...
Graphical models are a way of representing the relationships between features (variables). There are...
The motivation for this paper is the integer linear programming approach to learning the structure o...
International audienceGraphical models (GMs) define a family of mathematical models aimed at the con...
summary:We compare alternative definitions of undirected graphical models for discrete, finite varia...
This paper deals with the Bayesian analysis of d-decomposable graphical models of marginal independ...
We prove that the complete graph K-v can be decomposed into dodecahedra if and only if v = 1, 16, 25...
The present paper considers discrete probability models with exact computational properties. In rela...
The idea of graphical models is to use the language of graph theory to unify different classes of us...
<p>A graph which represents the different models generated and their respective metrics.</p
Decomposable dependency models possess a number of interesting and useful proper-ties. This paper pr...
Decomposable dependency models possess a number of interesting and useful properties. This paper pre...
Graphical models (GMs) define a family of mathematical models aimed at the concise description of mu...
<p>Graphical model representation of the decoupled context-dependent integrative clustering model.</...
Given a decomposable graph, we characterize and enumerate the set of pairs of vertices whose connect...
This theoretical paper is inspired by an integer linear programming (ILP) approach to learning the s...
Graphical models are a way of representing the relationships between features (variables). There are...
The motivation for this paper is the integer linear programming approach to learning the structure o...
International audienceGraphical models (GMs) define a family of mathematical models aimed at the con...
summary:We compare alternative definitions of undirected graphical models for discrete, finite varia...
This paper deals with the Bayesian analysis of d-decomposable graphical models of marginal independ...
We prove that the complete graph K-v can be decomposed into dodecahedra if and only if v = 1, 16, 25...
The present paper considers discrete probability models with exact computational properties. In rela...
The idea of graphical models is to use the language of graph theory to unify different classes of us...
<p>A graph which represents the different models generated and their respective metrics.</p