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NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 7 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
BMCBI
2006
123views more  BMCBI 2006»
13 years 8 months ago
Computational models with thermodynamic and composition features improve siRNA design
Background: Small interfering RNAs (siRNAs) have become an important tool in cell and molecular biology. Reliable design of siRNA molecules is essential for the needs of large fun...
Svetlana A. Shabalina, Alexey N. Spiridonov, Aleks...
CGF
2008
184views more  CGF 2008»
13 years 8 months ago
A Four-level Focus+Context Approach to Interactive Visual Analysis of Temporal Features in Large Scientific Data
In this paper we present a new approach to the interactive visual analysis of time-dependent scientific data
Philipp Muigg, Johannes Kehrer, Steffen Oeltze, Ha...
ACSD
2008
IEEE
107views Hardware» more  ACSD 2008»
13 years 10 months ago
Discrete real-time and stochastic-time process algebra for performance analysis of distributed systems
We present a process algebra with conditionally distributed discrete-time delays and generally-distributed stochastic delays. The treatment allows for expansion laws for the paral...
Jasen Markovski, Erik P. de Vink
TSC
2008
209views more  TSC 2008»
13 years 8 months ago
Effective Web Service Composition in Diverse and Large-Scale Service Networks
Web services are considered to be a potential silver bullet for the envisioned Service Oriented Architecture, in which loosely coupled software components are published, located, a...
Seog-Chan Oh, Dongwon Lee, Soundar R. T. Kumara