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» Hybridizing Concept Languages
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HIS
2003
13 years 10 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider
TNN
1998
146views more  TNN 1998»
13 years 8 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
SEMCO
2009
IEEE
14 years 3 months ago
Conceptual Space Markup Language (CSML): Towards the Cognitive Semantic Web
—CSML is a semantic markup language created for the publishing and sharing of conceptual spaces, which are geometric structures that represent semantics at the conceptual level. ...
Benjamin Adams, Martin Raubal
ER
2008
Springer
128views Database» more  ER 2008»
13 years 10 months ago
Temporal Constraints in Non-temporal Data Modelling Languages
It is common to find that the definition or common usage of a data modelling language causes there to be restrictions placed on the evolution of data values that are associated wit...
Peter McBrien
WCET
2008
13 years 10 months ago
Towards a Common WCET Annotation Language: Essential Ingredients
Within the last years, ambitions towards the definition of common interfaces and the development of open frameworks have increased the efficiency of research on WCET analysis. The...
Raimund Kirner, Albrecht Kadlec, Adrian Prantl, Ma...