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A time-series prediction framework using sequential learning algorithms and dimensionality reduction within a sparsification approach.
Sergio García-Vega
E. A. León-Gómez
Germán Castellanos-Domínguez
Published in:
Pattern Recognit. Lett. (2020)
Keyphrases
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dimensionality reduction
learning algorithm
main contribution
neural network
active learning
machine learning
artificial neural networks
learning scheme
graph embedding
pattern recognition
probabilistic model
high dimensionality
dimension reduction
neural network model
subspace learning