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NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 5 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
EEE
2005
IEEE
14 years 1 months ago
QoS Aggregation in Web Service Compositions
For the composition of Web services non-functional characteristics are commonly considered criteria for finding and selecting available services. Our work focuses on a mechanism ...
Michael C. Jaeger, Gregor Rojec-Goldmann, Gero M&u...
BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
PLDI
2003
ACM
14 years 22 days ago
Compile-time composition of run-time data and iteration reorderings
Many important applications, such as those using sparse data structures, have memory reference patterns that are unknown at compile-time. Prior work has developed runtime reorderi...
Michelle Mills Strout, Larry Carter, Jeanne Ferran...
COMGEO
2007
ACM
13 years 7 months ago
A package for exact kinetic data structures and sweepline algorithms
In this paper we present a package for implementing exact kinetic data structures built on objects which move along polynomial trajectories. We discuss how the package design was ...
Daniel Russel, Menelaos I. Karavelas, Leonidas J. ...