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BMCBI
2004
121views more  BMCBI 2004»
15 years 6 months ago
Asynchronous adaptive time step in quantitative cellular automata modeling
Background: The behaviors of cells in metazoans are context dependent, thus large-scale multicellular modeling is often necessary, for which cellular automata are natural candidat...
Hao Zhu, Peter Y. H. Pang, Yan Sun, Pawan Dhar
ICASSP
2011
IEEE
14 years 10 months ago
Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...
Hao Chen, Yu Gong, Xia Hong
177
Voted
ICALT
2006
IEEE
16 years 23 days ago
Model-Driven Instructional Engineering to Generate Adaptable Learning Materials
The application of software engineering approaches to generate learning material adapted to a specific instructional purpose presents some issues: of different models, different a...
Juan Manuel Dodero, David Díez
ASPDAC
2010
ACM
120views Hardware» more  ASPDAC 2010»
15 years 4 months ago
Wideband reduced modeling of interconnect circuits by adaptive complex-valued sampling method
In this paper, we propose a new wideband model order reduction method for interconnect circuits by using a novel adaptive sampling and error estimation scheme. We try to address t...
Hai Wang, Sheldon X.-D. Tan, Gengsheng Chen
WWW
2005
ACM
16 years 7 months ago
Building adaptable and reusable XML applications with model transformations
We present an approach in which the semantics of an XML language is defined by means of a transformation from an XML document model (an XML schema) to an application specific mode...
Ivan Kurtev, Klaas van den Berg