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The most direct and intuitive way of showing the information embodied in a Bayesian network is to display the corresponding graph: each node is represented by an oval containing the name (or a short description) of the associated variable, and links are drawn as arrows.
Feb 21, 2002
This paper describes the basic properties that characterize explanation methods and reviews the methods developed up to date for explanation in Bayesian ...
1 Introduction. Expert systems originated in the 1970s as computer programs capable of imitating human experts and even substituting them when necessary.
This paper describes the basic properties that characterise explanation methods and reviews the methods developed to date for explanation in Bayesian networks.
This paper describes the basic properties that characterise explanation methods and reviews the methods developed to date for explanation in Bayesian networks.
The basic properties that characterise explanation methods are described and the methods developed to date for explanation in Bayesian networks are reviewed ...
Apr 23, 2001 · Expert systems originated in the 70s as omputer programs apable to imitating human experts and even substituting them when ne essary.
Lacave and F. J. Dıez, “A review of explanation methods for bayesian networks,” Knowl. Eng. Rev., vol. 17, no. 2, pp. 107–127, 2002. [8] U. H. Nielsen, J.-P ...
This paper presents the findings of a literature analysis regarding what constitutes an explanation, which properties an explanation may have and a review of ...
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In this paper, we present results of a study in which four different explanation approaches were evaluated through a survey by questioning a group of human ...