نتایج جستجو برای: bayesian model

تعداد نتایج: 2149204  

Journal: :Intelligent Automation and Soft Computing 2022

Dengue Hemorrhagic Fever (DHF) is a tropical disease that always attacks densely populated urban communities. Some factors, such as environment, climate and mobility, have contributed to the spread of disease. The Aedes aegypti mosquito an agent dengue virus in humans, by inhibiting its life cycle it can reduce Therefore, necessary involve dynamics mosquito's model order obtain reliable risk ma...

2011
Jirka Poropudas Shane G. Henderson Bahar Biller Ming-Hua Hsieh John Shortle Jeffrey D. Tew Russell R. Barton Kai Virtanen

In this paper, air combat simulation data is reconstructed into a dynamic Bayesian network. It gives a compact probabilistic model that describes the progress of air combat and allows efficient computing for study of different courses of the combat. This capability is used inwhat-if type analysis that investigates the effect of different air combat situations on the air combat evolution and out...

2007
Sylvie C. W. Ong Surendra Ranganath

This paper addresses an aspect of sign language (SL) recognition that has largely been overlooked in previous work and yet is integral to signed communication. This work is the most comprehensive to-date on the recognition of the complex variations in sign appearances due to grammatical processes (inflections). These processes systematically modulate both the temporal and spatial dimensions of ...

2005
Barry R. Cobb Prakash P. Shenoy

When a hybrid Bayesian network has conditionally deterministic variables with continuous parents, the joint density function for the continuous variables does not exist. Conditional linear Gaussian distributions can handle such cases when the continuous variables have a multi-variate normal distribution and the discrete variables do not have continuous parents. In this paper, operations require...

2016
Michael Franke Fabian Dablander Anthea Schöller Erin Bennett Judith Degen Michael Henry Tessler Justine T. Kao Noah D. Goodman

People’s beliefs about everyday events are both of theoretical interest in their own right and an important ingredient in model building—especially in Bayesian cognitive models of phenomena such as logical reasoning, future predictions, and language use. Here, we explore several recently used methods for measuring subjective beliefs about unidimensional contiguous properties, such as the likely...

Journal: :Marketing Science 2010
Jeffrey P. Dotson Greg M. Allenby

The ability to demonstrate the impact of marketing action on firm financial performance is crucial for evaluating, justifying, and optimizing the expenditure of a firm’s marketing resources. This presents itself as a formidable task when one considers both the variety and potential influence of marketing activity. We propose a Hierarchical Bayesian model of simultaneous supply and demand that a...

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