Exact or approximate inference in graphical models - miat, inrae

makes inferences under uncertainty and decisions based on these inferences. The objective of this thesis is to respond to this need by presenting a ...







Evolving from Inferences to Decisions in the Interpretation of ... - Serval
[48] divide these techniques into four categories: physics-based models, knowledge-based models, data-driven models, and combination models.
Advancing Markov Decision Processes and Multivariate Gaussian ...
6.6 Trial-based inference with Markov Chain Monte Carlo . . . . . . . 125 ... cess corresponding to model-based valuation sits on top of the decision process.
Acceleration Strategies of Markov Chain Monte Carlo for Bayesian C
L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non ...
General Methods for Monitoring Convergence of Iterative Simulations
The method involves simulating from a complex and generally multivariate target distribution, p(Q),indirectly, by generating a Markov chain with the target ...
Markov Chains: Models, Algorithms and Applications
We present an approach based on Markov decision process to the ... reply on a prediction model to make inferences on users' interests based upon.
Model-Based Bayesian Inference, Learning, and Decision-Making ...
This dissertation discusses the mathematical modeling of dynamical systems under uncer- tainty, Bayesian inference and learning of the unknown ...
Probabilistic Inference Using Markov Chain Monte Carlo Methods
Abstract. Probabilistic inference is an attractive approach to uncertain reasoning and em- pirical learning in arti cial intelligence.
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Publication DILA - Bodacc
Ces plans sont destinés uniquement à l'obtention d'une autorisation à construire et ne peuvent en aucun cas servir de plans d'exécution.
Enseigner le quanti en sciences sociales dans le supérieur
Résumé : Proposé par Kaplan et Anderson en 2004 pour remédier aux écueils de la méthode ABC, le TD ABC se veut plus simple, moins cher et ...