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» Interpreting Belief Functions as Dirichlet Distributions
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ECSQARU
2007
Springer
14 years 1 months ago
Interpreting Belief Functions as Dirichlet Distributions
Traditional Dempster Shafer belief theory does not provide a simple method for judging the effect of statistical and probabilistic data on belief functions and vice versa. This put...
Audun Jøsang, Zied Elouedi
BIBM
2010
IEEE
151views Bioinformatics» more  BIBM 2010»
13 years 5 months ago
Probabilistic topic modeling for genomic data interpretation
Recently, the concept of a species containing both core and distributed genes, known as the supra- or pangenome theory, has been introduced. In this paper, we aim to develop a new ...
Xin Chen, Xiaohua Hu, Xiajiong Shen, Gail Rosen
AAAI
2012
11 years 9 months ago
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images
Pre-symptomatic drought stress prediction is of great relevance in precision plant protection, ultimately helping to meet the challenge of “How to feed a hungry world?”. Unfor...
Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Chr...
ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
14 years 1 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin
ECSQARU
2007
Springer
14 years 1 months ago
On the Orthogonal Projection of a Belief Function
In this paper we study a new probability associated with any given belief function b, i.e. the orthogonal projection π[b] of b onto the probability simplex P. We provide an interp...
Fabio Cuzzolin