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AI
2002
Springer
15 years 6 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
MCS
2007
Springer
15 years 6 months ago
Parallel unstructured mesh generation by an advancing front method
Mesh generation is a critical step in high fidelity computational simulations. High-quality and high-density meshes are required to accurately capture the complex physical phenome...
Yasushi Ito, Alan M. Shih, Anil K. Erukala, Bharat...
ANOR
2004
143views more  ANOR 2004»
15 years 6 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
CI
2004
115views more  CI 2004»
15 years 6 months ago
A Conversational Approach to the Interaction With Web Services
The emerging standards for the specification of Web Services support the publication of the static interfaces of the operations they may execute. However, little attention is paid...
Liliana Ardissono, Giovanna Petrone, Marino Segnan
COMCOM
2004
79views more  COMCOM 2004»
15 years 6 months ago
Anomaly detection methods in wired networks: a survey and taxonomy
Despite the advances reached along the last 20 years, anomaly detection in network behavior is still an immature technology, and the shortage of commercial tools thus corroborates...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
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