Results 341 to 350 of about 22,758,545 (367)
Some of the next articles are maybe not open access.
1996
Abstract The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables.
openaire +2 more sources
Abstract The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables.
openaire +2 more sources
2012
Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years.
Højsgaard, Søren +2 more
openaire +3 more sources
Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years.
Højsgaard, Søren +2 more
openaire +3 more sources
2001
Mathematically, a Bayesian graphical model is a compact representation of the joint probability distribution for a set of variables. The most frequently used type of Bayesian graphical models are Bayesian networks. The structural part of a Bayesian graphical model is a graph consisting of nodes and edges.
Jensen, Finn Verner +1 more
openaire +2 more sources
Mathematically, a Bayesian graphical model is a compact representation of the joint probability distribution for a set of variables. The most frequently used type of Bayesian graphical models are Bayesian networks. The structural part of a Bayesian graphical model is a graph consisting of nodes and edges.
Jensen, Finn Verner +1 more
openaire +2 more sources
2015
Ce chapitre d'ouvrage fait la synthèse des éléments théoriques et méthodologiques de la ...
Houdart, Marie, M., Etienne, M.
openaire +1 more source
Ce chapitre d'ouvrage fait la synthèse des éléments théoriques et méthodologiques de la ...
Houdart, Marie, M., Etienne, M.
openaire +1 more source
Discrete Graphical Models and Their Parameterization
2018This chapter is devoted to graphical models in which the observed variables are categorical, that is, whose state space consists of a finite number of values. The focus is on regression graph models, because this family of models allows us to approach discrete graphical models with a sufficient degree of generality.
Steffen L. Lauritzen +3 more
openaire +3 more sources
2015
This chapter gives an introduction to causal modeling, in particular to causal Bayesian networks. It starts by introducing causal models and their importance. Then causal Bayesian networks are described, including two types of causal reasoning, prediction and counterfactuals.
openaire +2 more sources
This chapter gives an introduction to causal modeling, in particular to causal Bayesian networks. It starts by introducing causal models and their importance. Then causal Bayesian networks are described, including two types of causal reasoning, prediction and counterfactuals.
openaire +2 more sources
2013
This chapter is an introduction to the graphical approach for model generation. The concepts of “models” and “effects” are introduced. A tutorial approach is used to demonstrate how models can be created, tested, and simulated. The graphical approach to model abstraction is compared to a language-oriented approach and shown to be simpler and easier to ...
Peter R. Wilson, H. Alan Mantooth
openaire +2 more sources
This chapter is an introduction to the graphical approach for model generation. The concepts of “models” and “effects” are introduced. A tutorial approach is used to demonstrate how models can be created, tested, and simulated. The graphical approach to model abstraction is compared to a language-oriented approach and shown to be simpler and easier to ...
Peter R. Wilson, H. Alan Mantooth
openaire +2 more sources
Multi-language evaluation of exact solvers in graphical model discrete optimization
Constraints, 2016B. Hurley +6 more
semanticscholar +1 more source
The stitched puppet: A graphical model of 3D human shape and pose
Computer Vision and Pattern Recognition, 2015S. Zuffi, Michael J. Black
semanticscholar +1 more source
2014
Dans un premier temps, la communication retrace quelques grands éléments de définition de l'outil chorématique en insistant sur le fait qu’il s’agit d’un outil co-construit par les scientifiques intéressés par les questions de développement territorial. Une illustration de l'utilisation de l'outil est ensuite donnée.
openaire +1 more source
Dans un premier temps, la communication retrace quelques grands éléments de définition de l'outil chorématique en insistant sur le fait qu’il s’agit d’un outil co-construit par les scientifiques intéressés par les questions de développement territorial. Une illustration de l'utilisation de l'outil est ensuite donnée.
openaire +1 more source