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FUIN
2008
108views more  FUIN 2008»
14 years 12 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
HICSS
2002
IEEE
130views Biometrics» more  HICSS 2002»
15 years 6 months ago
A Set Theory Based Approach on Applying Domain Semantics to XML Structures
As XML is gathering more and more importance in the field of data interchange in distributed business to business (B2B) applications, it is increasingly important to provide a for...
Wolfgang Schuetzelhofer, Karl M. Göschka
TAOSD
2010
14 years 11 months ago
A Graph-Based Aspect Interference Detection Approach for UML-Based Aspect-Oriented Models
Abstract. Aspect Oriented Modeling (AOM) techniques facilitate separate modeling of concerns and allow for a more flexible composition of these than traditional modeling technique...
Selim Ciraci, Wilke Havinga, Mehmet Aksit, Christo...
RTCSA
1999
IEEE
15 years 5 months ago
A Symbolic Model Checker for Testing ASTRAL Real-Time Specifications
ASTRAL is a high-level formal specification language for real-time (infinite state) systems. It is provided with structuring mechanisms that allow one to build modularized specifi...
Zhe Dang, Richard A. Kemmerer
INFORMS
1998
142views more  INFORMS 1998»
15 years 29 days ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol