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» Using probabilistic model checking in systems biology
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CCE
2008
15 years 6 months ago
Prediction of secondary structures of proteins using a two-stage method
Protein structure determination and prediction has been a focal research subject in life sciences due to the importance of protein structure in understanding the biological and ch...
Fadime Üney Yüksektepe, Özlem Yilma...
DNA
2005
Springer
132views Bioinformatics» more  DNA 2005»
16 years 23 hour ago
DNA Recombination by XPCR
The first step of the Adleman-Lipton extract model in DNA computing is the combinatorial generation of libraries. In this paper a new method is proposed for generating a initial p...
Giuditta Franco, Vincenzo Manca, Cinzia Giagulli, ...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
16 years 27 days ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
SP
2006
IEEE
177views Security Privacy» more  SP 2006»
16 years 15 days ago
FIREMAN: A Toolkit for FIREwall Modeling and ANalysis
Security concerns are becoming increasingly critical in networked systems. Firewalls provide important defense for network security. However, misconfigurations in firewalls are ...
Lihua Yuan, Jianning Mai, Zhendong Su, Hao Chen, C...
ESANN
2006
15 years 7 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray