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SBRN
2000
IEEE
13 years 9 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
BIOINFORMATICS
2007
48views more  BIOINFORMATICS 2007»
13 years 5 months ago
Data-based identifiability analysis of non-linear dynamical models
S. Hengl, C. Kreutz, Jens Timmer, Thomas Maiwald
IJCV
2008
188views more  IJCV 2008»
13 years 4 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
TSMC
2008
89views more  TSMC 2008»
13 years 4 months ago
A Probabilistic Wavelet System for Stochastic and Incomplete Data-Based Modeling
A probabilistic wavelet system (PWS) is proposed to model the unknown dynamic system with stochastic and incomplete data. When compared with the traditional wavelet system, the PWS...
Zhi Liu, Han-Xiong Li, Yun Zhang
DATAMINE
2008
95views more  DATAMINE 2008»
13 years 3 months ago
A dynamic bibliometric model for identifying online communities
Predictive modelling of online dynamic user-interaction recordings and community identifi cation from such data b ecomes more and more imp ortant w ith th e w idesp read use of on...
Xin Wang, Ata Kabán