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» Uncertainty in Knowledge Provenance
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AI
2008
Springer
15 years 4 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
CGI
1999
IEEE
15 years 10 months ago
Visualizing Knowledge about Virtual Reconstructions of Ancient Architecture
One of the assumptions of current software for visualizing architecture is that the underlying geometry is a correct, objective, and complete representation of the objects in ques...
Thomas Strothotte, Maic Masuch, Tobias Isenberg
JUCS
2006
91views more  JUCS 2006»
15 years 5 months ago
Creation and Evaluation of Fuzzy Knowledge-base
: In this paper we give a possible model for handling uncertain information. The concept of fuzzy knowledge-base will be defined as a quadruple of any background knowledge, defined...
Ágnes Achs
ANOR
2004
143views more  ANOR 2004»
15 years 5 months ago
Model Independent Parametric Decision Making
Accurate knowledge of the effect of parameter uncertainty on process design and operation is essential for optimal and feasible operation of a process plant. Existing approaches de...
Ipsita Banerjee, Marianthi G. Ierapetritou
ESANN
2007
15 years 7 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann