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145
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JUCS
2007
107views more  JUCS 2007»
15 years 4 months ago
Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
Jili Tao, Ning Wang, Xuejun Wang
ICASSP
2011
IEEE
14 years 8 months ago
Generalized low-rank decompositions with switching and adaptive algorithms for space-time adaptive processing
This work presents generalized low-rank signal decompositions with the aid of switching techniques and adaptive algorithms, which do not require eigen-decompositions, for space-ti...
Rodrigo C. de Lamare
146
Voted
JMLR
2012
13 years 7 months ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...
CGO
2004
IEEE
15 years 8 months ago
Targeted Path Profiling: Lower Overhead Path Profiling for Staged Dynamic Optimization Systems
In this paper, we present a technique for reducing the overhead of collecting path profiles in the context of a dynamic optimizer. The key idea to our approach, called Targeted Pa...
Rahul Joshi, Michael D. Bond, Craig B. Zilles
132
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GECCO
2006
Springer
253views Optimization» more  GECCO 2006»
15 years 8 months ago
A novel approach to optimize clone refactoring activity
Achieving a high quality and cost-effective tests is a major concern for software buyers and sellers. Using tools and integrating techniques to carry out low cost testing are chal...
Salah Bouktif, Giuliano Antoniol, Ettore Merlo, Ma...