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Learning from non-stationary data using a growing network of prototypes.
Alejandro Cervantes
Pedro Isasi
Caroline Gagné
Marc Parizeau
Published in:
IEEE Congress on Evolutionary Computation (2013)
Keyphrases
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non stationary
data sets
learning algorithm
network structure
data analysis
learning process
prior knowledge
multiscale
data sources
data points
data transfer
peer to peer
training data
supervised learning
knowledge discovery
bayesian networks
historical data
empirical mode decomposition