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» Uncertainty in Knowledge Provenance
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AI
2008
Springer
13 years 8 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
14 years 2 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»
13 years 9 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»
13 years 9 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
13 years 11 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