Evaluating the informativity of a training sample for image classification by deep learning methods

DOI10.1007/s10559-021-00411-4OpenAlexW3214974523MaRDI QIDQ2668512

O. A. Lutsyk, B. P. Rusyn, R. Y. Kosarevych

Publication date: 7 March 2022

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-021-00411-4

zbMATH Keywords

feature selectiontraining sampledeep learningconvolutional neural network

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Applications of statistics (62Pxx) Sufficiency and information (62Bxx)

Uses Software

• PRMLT

Cites Work

• ROC and AUC with a binary predictor: a potentially misleading metric
• Upper-bound estimates for classifiers based on a dissimilarity function
• Distributions of the Kullback-Leibler divergence with applications
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