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ML
2006
ACM
13 years 9 months ago
Using duration models to reduce fragmentation in audio segmentation
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
Samer A. Abdallah, Mark B. Sandler, Christophe Rho...
NN
2006
Springer
13 years 9 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
RE
2006
Springer
13 years 9 months ago
Using Domain Ontology as Domain Knowledge for Requirements Elicitation
Domain knowledge is one of crucial factors to get a great success in requirements elicitation of high quality, and only domain experts, not requirements analysts, have it. We prop...
Haruhiko Kaiya, Motoshi Saeki
SAC
2006
ACM
13 years 9 months ago
Transformation of B specifications into UML class diagrams and state machines
We propose a rule-based approach for transforming B abstract machines into UML diagrams. We believe that important insight into the structure underlying a B model can be gained by...
Houda Fekih, Leila Jemni Ben Ayed, Stephan Merz
IJCSA
2008
104views more  IJCSA 2008»
13 years 9 months ago
Artificial Intelligence and Bluetooth Techniques in a Multi-user M-learning Domain
In this paper we present a practical implementation of a multiuser technical laboratory that combines Artificial Intelligence (AI) and Bluetooth (BT) techniques. The objective is ...
Bonifacio Castaño, Angel Moreno, Melquiades...