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On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them.
Vito Walter Anelli
Tommaso Di Noia
Eugenio Di Sciascio
Claudio Pomo
Azzurra Ragone
Published in:
CoRR (2019)
Keyphrases
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cross validation
discriminative power
hyperparameters
model selection
computational cost
support vector
bag of words
cross validated
training set
ls svm
invariant features
sparse coding
grid search
multiscale
sample size
image representation
higher order
prior information
data mining
feature selection
computer vision