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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 7 months ago
A neural evolutionary approach to financial modeling
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approac...
Antonia Azzini, Andrea Tettamanzi
BMCBI
2008
113views more  BMCBI 2008»
15 years 3 months ago
Investigating selection on viruses: a statistical alignment approach
Background: Two problems complicate the study of selection in viral genomes: Firstly, the presence of genes in overlapping reading frames implies that selection in one reading fra...
Saskia de Groot, Thomas Mailund, Gerton Lunter, Jo...
114
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EUC
2006
Springer
15 years 7 months ago
On Multiprocessor Utility Accrual Real-Time Scheduling with Statistical Timing Assurances
We present the first Utility Accrual (or UA) real-time scheduling algorithm for multiprocessors, called gMUA. The algorithm considers an application model where real-time activiti...
Hyeonjoong Cho, Haisang Wu, Binoy Ravindran, E. Do...
HVEI
2010
15 years 1 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...
EDM
2010
150views Data Mining» more  EDM 2010»
15 years 4 months ago
Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for
Epistemic games are designed to help players develop domain-specific expertise that characterizes how professionals in a particular domain reason, communicate, and act [1, 11]. To ...
Andre A. Rupp, Shauna J. Sweet, Younyoung Choi