
Some Properties of Plausible Reasoning
This paper presents a plausible reasoning system to illustrate some broa...
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A Linear Belief Function Approach to Portfolio Evaluation
By elaborating on the notion of linear belief functions (Dempster 1990; ...
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A Description Logic for Analogical Reasoning
Ontologies formalise how the concepts from a given domain are interrelat...
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Generating Hypothetical Events for Abductive Inference
Abductive reasoning starts from some observations and aims at finding th...
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Learning Influence Functions from Incomplete Observations
We study the problem of learning influence functions under incomplete ob...
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An Effective Approach to Minimize Error in Midpoint Ellipse Drawing Algorithm
The present paper deals with the generalization of Midpoint Ellipse Draw...
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A knowledge based spatial model for utilizing point and nested areal observations: A case study of annual runoff predictions in the Voss area
In this study, annual runoff is estimated by using a Bayesian geostatist...
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Plausible reasoning from spatial observations
This article deals with plausible reasoning from incomplete knowledge about largescale spatial properties. The availableinformation, consisting of a set of pointwise observations,is extrapolated to neighbour points. We make use of belief functions to represent the influence of the knowledge at a given point to another point; the quantitative strength of this influence decreases when the distance between both points increases. These influences arethen aggregated using a variant of Dempster's rule of combination which takes into account the relative dependence between observations.
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