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IJON
2006
161views more  IJON 2006»
15 years 6 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
216
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IJON
2006
131views more  IJON 2006»
15 years 6 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...
ESWA
2007
100views more  ESWA 2007»
15 years 6 months ago
Treatment of multi-dimensional data to enhance neural network estimators in regression problems
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
H. Altun, A. Bilgil, B. C. Fidan
ESWA
2007
178views more  ESWA 2007»
15 years 6 months ago
Educational data mining: A survey from 1995 to 2005
ct 7 Currently there is an increasing interest in data mining and educational systems, making educational data mining as a new growing 8 research community. This paper surveys the ...
Cristóbal Romero, Sebastián Ventura
IJON
2007
81views more  IJON 2007»
15 years 6 months ago
Statistical analysis of spatially embedded networks: From grid to random node positions
Many conceptual studies of local cortical networks assume completely random wiring. For spatially extended networks, however, such random graph models are inadequate. The geometry...
Nicole Voges, Ad Aertsen, Stefan Rotter