Application of Bayesian Belief Network on Biological Traits: Uncertainty Management Technique to Support Biological Modeling for Conservation of Threatened Tree Species - Couverture souple

Getachew, Behailu

 
9783639316339: Application of Bayesian Belief Network on Biological Traits: Uncertainty Management Technique to Support Biological Modeling for Conservation of Threatened Tree Species
Couverture souple
ISBN 10 : 3639316339 ISBN 13 : 9783639316339
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Developing models for inference have been a problem in the domain area in particular for threatened tree species which have inevitable contribution for securing the natural resource conservation and its genetic stability from being eroded as indicated in many literatures. Over the past half century, Bayesian methods have emerged as a preferred method for reasoning with uncertainty due to their mathematical foundation. Although Bayesian theory does not solve all problems in probabilistic reasoning, it has given scientists a sound framework within which uncertainty can be represented and analyzed pragmatically.By looking at systems probabilistically,the models constructed explicitly represent the uncertainty in the underlying system. Bayesian belief networks (BBNs) are useful tools for modeling biological predictions and aiding species conservation and managing uncertainty in decision-making. The work shows that the Bayesian network classifier has a potential to be used as a tool for prediction of biological modeling to forward about conservation actions in the field of forestry.

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Présentation de l'éditeur

Developing models for inference have been a problem in the domain area in particular for threatened tree species which have inevitable contribution for securing the natural resource conservation and its genetic stability from being eroded as indicated in many literatures. Over the past half century, Bayesian methods have emerged as a preferred method for reasoning with uncertainty due to their mathematical foundation. Although Bayesian theory does not solve all problems in probabilistic reasoning, it has given scientists a sound framework within which uncertainty can be represented and analyzed pragmatically.By looking at systems probabilistically,the models constructed explicitly represent the uncertainty in the underlying system. Bayesian belief networks (BBNs) are useful tools for modeling biological predictions and aiding species conservation and managing uncertainty in decision-making. The work shows that the Bayesian network classifier has a potential to be used as a tool for prediction of biological modeling to forward about conservation actions in the field of forestry.

Biographie de l'auteur

Mr. Behailu Getachew Wolde, M.Sc.: Studied information science at Addis Ababa University, Ethiopia. Advanced (post) diploma in computer science at HiLCoE, School Of Computer Science and Technology.I am instructor teaching computer courses under computing department, Ethiopian Institute of Technology-Mekelle, Mekelle University.

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Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639316339
ISBN 13 
9783639316339
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
non disponible