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SUM
2009
Springer
14 years 3 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
ICCS
2003
Springer
14 years 2 months ago
DDEMA: A Data Driven Environment for Multiphysics Applications
In this paper we present the design of a multidisciplined problem solving environment (MPSE) for supporting an efficient prediction capability for the response of multiscale interd...
John Michopoulos, Panagiota Tsompanopoulou, Elias ...
WWW
2004
ACM
14 years 9 months ago
Flexibility of Automatic Authoring for the Semantic Web
The LAOS model, a 5-layer adaptive hypermedia (AH) authoring model, was previously shown to specify a flexible framework for (collaborative) creation of material for the semantic ...
Alexandra I. Cristea
WOSP
1998
ACM
14 years 1 months ago
Poems: end-to-end performance design of large parallel adaptive computational systems
The POEMS project is creating an environment for end-to-end performance modeling of complex parallel and distributed systems, spanning the domains of application software, runti...
Ewa Deelman, Aditya Dube, Adolfy Hoisie, Yong Luo,...
ENVSOFT
2006
117views more  ENVSOFT 2006»
13 years 9 months ago
Land information system: An interoperable framework for high resolution land surface modeling
Knowledge of land surface water, energy, and carbon conditions are of critical importance due to their impact on many real world applications such as agricultural production, wate...
Sujay V. Kumar, Christa D. Peters-Lidard, Yudong T...