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ECSQARU
2005
Springer
15 years 11 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi
ISOLA
2010
Springer
15 years 3 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
HICSS
2002
IEEE
119views Biometrics» more  HICSS 2002»
15 years 10 months ago
Task-Structure Analysis: A Modularized Approach for Modeling Knowledge Intensive Processes
Modular design methodologies, which decompose large and complex systems into components that are relatively easy to develop and maintain, have been widely adopted in the software ...
Roman M. Wong, Siddhartha Bhattacharyya
TAMC
2007
Springer
15 years 11 months ago
A Note on Universal Composable Zero Knowledge in Common Reference String Model
Pass observed that universal composable zero-knowledge (UCZK) protocols in the common reference string (CRS) model, where a common reference string is selected trustily by a truste...
Andrew Chi-Chih Yao, Frances F. Yao, Yunlei Zhao
AIR
2010
95views more  AIR 2010»
15 years 5 months ago
A taxonomy of argumentation models used for knowledge representation
Understanding argumentation and its role in human reasoning has been a continuous subject of investigation for scholars from the ancient Greek philosophers to current researchers ...
Jamal Bentahar, Bernard Moulin, Micheline Bé...