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Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks.
Elisa Guerrero Vázquez
Andrés Yáñez Escolano
Pedro Galindo Riaño
Joaquín Pizarro Junquera
Published in:
IWANN (2) (2001)
Keyphrases
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model selection
cross validation
parameter estimation
regression model
sample size
hyperparameters
machine learning
mixture model
gaussian process
selection criterion
feature selection
information criterion
marginal likelihood
parameter determination
variable selection
bayesian information criterion