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CIE
2009
Springer
14 years 2 months ago
Computational Heuristics for Simplifying a Biological Model
Abstract. Computational biomodelers adopt either of the following approaches: build rich, as complete as possible models in an effort to obtain very realistic models, or on the co...
Ion Petre, Andrzej Mizera, Ralph-Johan Back
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
14 years 2 months ago
Rigorously Bayesian range finder sensor model for dynamic environments
— This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. The modeling rigorously explains all model assumpt...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
SIMPRA
2008
125views more  SIMPRA 2008»
13 years 7 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic
ICC
2007
IEEE
14 years 2 months ago
On the Verification of the Gravity Model Used for Mobility Modeling
— Gravity model used to model transport flow has proven invaluable in urban planning. Some recent work has proposed to use gravity model to predict user movements in cellular net...
Yong Huat Chew, Shinobu Nanba, Peng Keong Tham, Bo...
CCE
2006
13 years 8 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang