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» A Comparison of Genetic Network Models
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EWSN
2007
Springer
15 years 9 months ago
Model-Based Design Exploration of Wireless Sensor Node Lifetimes
This paper presents two lifetime models that describe two of the most common modes of operation of sensor nodes today, triggerdriven and duty-cycle driven. The models use a set of ...
Deokwoo Jung, Thiago Teixeira, Andrew Barton-Sween...
GECCO
2004
Springer
121views Optimization» more  GECCO 2004»
15 years 3 months ago
Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers
Artificial Immune Systems (AISs) are biologically inspired problem solvers that have been used successfully as intrusion detection systems (IDSs). This paper describes how the des...
Gerry V. Dozier, Douglas Brown, John Hurley, Kryst...
ESWA
2006
103views more  ESWA 2006»
14 years 9 months ago
Model gene network by semi-fixed Bayesian network
Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, and protein or RNA transport. Thus, le...
Tie-Fei Liu, Wing-Kin Sung, Ankush Mittal
AMC
2011
14 years 1 months ago
General criteria for asymptotic and exponential stabilities of neural network models with unbounded delays
For a family of differential equations with infinite delay, we give sufficient conditions for the global asymptotic, and global exponential stability of an equilibrium point. Th...
Teresa Faria, José J. Oliveira
ESANN
2006
14 years 11 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha