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ESANN
2006
15 years 9 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...
ACTA
2010
104views more  ACTA 2010»
15 years 7 months ago
Reachability results for timed automata with unbounded data structures
Systems of Data Management Timed Automata (SDMTAs) are networks of communicating timed automata with structures to store messages and functions to manipulate them. We prove the dec...
Ruggero Lanotte, Andrea Maggiolo-Schettini, Angelo...
ICCCN
2008
IEEE
16 years 2 months ago
Instrumentation and Analysis of MPI Queue Times on the SeaStar High-Performance Network
—Understanding the communication behavior and network resource usage of parallel applications is critical to achieving high performance and scalability on systems with tens of th...
Ron Brightwell, Kevin T. Pedretti, Kurt B. Ferreir...
IJCNN
2007
IEEE
16 years 1 months ago
Local Learning of Tide Level Time Series using a Fuzzy Approach
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
E. Canestrelli, P. Canestrelli, Marco Corazza, Mau...
ISPAN
1997
IEEE
15 years 12 months ago
A method for estimating optimal unrolling times for nested loops
Loop unrolling is one of the most promising parallelization techniques, because the nature of programs causes most of the processing time to be spent in their loops. Unrolling not...
Akira Koseki, Hideaki Komatsu, Yoshiaki Fukazawa