Results 251 to 260 of about 20,022 (282)
A review on probabilistic graphical models in evolutionary computation [PDF]
Journal of Heuristics, 2012 Thanks to their inherent properties, probabilistic graphical models are one of the prime candidates for machine learning and decision making tasks especially in uncertain domains.
Pedro Larranaga +2 more
exaly +2 more sources
Multi-Marginal Optimal Transport and Probabilistic Graphical Models
IEEE Transactions on Information Theory, 2021 We study multi-marginal optimal transport problems from a probabilistic graphical model perspective. We point out an elegant connection between the two when the underlying cost for optimal transport allows a graph structure.
Isabel Haasler +2 more
exaly +2 more sources
Guest Editors' Introduction to the Special Section on Probabilistic Graphical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009 The ten papers in this special section focus on applications of probabilistic graphical models in all areas of computer ...
Qiang Ji, Jiebo Luo, Dimitris Metaxas
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Probabilistic Graphical Models of Dyslexia
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015Reading is a complex cognitive process, errors in which may assume diverse forms. In this study, introducing a novel approach, we use two families of probabilistic graphical models to analyze patterns of reading errors made by dyslexic people: an LDA-based model and two Naeve Bayes models which differ by their assumptions about the generation process ...
Yair Lakretz +3 more
openaire +1 more source
Survey of Probabilistic Graphical Models
2013 10th Web Information System and Application Conference, 2013Probabilistic graphical model (PGM) is a generic model that represents the probability-based relationships among random variables by a graph, and is a general method for knowledge representation and inference involving uncertainty. In recent years, PGM provides an important means for solving the uncertainty of intelligent information field, and becomes
Hongmei Li +3 more
openaire +1 more source
A Guide to the Literature on Inferring Genetic Networks by Probabilistic Graphical Models
, 2005 In this chapter we discuss the advantages of the use of probabilistic graphical models for modelling molecular networks at different levels. We also provide an overview to the literature on inferring genetic networks by probabilistic graphical models ...
Pedro Larranaga, Iñaki Inza
exaly +2 more sources
THE HUGIN TOOL FOR PROBABILISTIC GRAPHICAL MODELS
International Journal on Artificial Intelligence Tools, 2005As the framework of probabilistic graphical models becomes increasingly popular for knowledge representation and inference, the need for efficient tools for its support is increasing. The Hugin Tool is a general purpose tool for construction, maintenance, and deployment of Bayesian networks and influence diagrams.
Anders L. Madsen +3 more
openaire +2 more sources
Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics
, 2014 International audienceThis is the first book to provide an in-depth description of the mechanisms underlying cutting-edge methods using probabilistic graphical models for genetics, genomics and postgenomics.
Sinoquet, Christine, Mourad, Raphaël
exaly +1 more source
Probabilistic reasoning with graphical security models
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Barbara Kordy +2 more
openaire +3 more sources
1|Functions on probabilistic graphical models
2009 International Multiconference on Computer Science and Information Technology, 2009Probabilistic graphical models are tools that are used to represent the probability distribution of a vector of random variables X = (X1, …, XN). In this paper we introduce functions f(x1, …, xN) defined over the given vector. These functions also are random variables.
Tomasz Ignac, Uli Sorger
openaire +1 more source