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2010
The Context-Tree-Weighting algorithm is an example of an computationally efficient way to compute a Bayesian mixture of context-tree models. In this talk I will present several classes of models for which efficient mixing procedures exist. After briefly touching the binary CTW method I will discuss an efficient way to determine the MAP context tree ...
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The Context-Tree-Weighting algorithm is an example of an computationally efficient way to compute a Bayesian mixture of context-tree models. In this talk I will present several classes of models for which efficient mixing procedures exist. After briefly touching the binary CTW method I will discuss an efficient way to determine the MAP context tree ...
openaire +1 more source
A visitors’ experience model for mixed reality in the museum
Current Issues in Tourism, 2020Mariapina Trunfio
exaly
A mixed integer linear programming formulation for optimal balancing of mixed-model U-lines
International Journal of Production Research, 2009Yakup Kara, Mahmut Tekin
exaly
Sequencing mixed-model assembly lines: Survey, classification and model critique
European Journal of Operational Research, 2009Nils Boysen +2 more
exaly
Real longitudinal data analysis for real people: Building a good enough mixed model
Statistics in Medicine, 2010Jing Cheng +2 more
exaly
Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model
Transportation Research Part B: Methodological, 2001Chandra R Bhat
exaly