Autoencoder-PCA-based Online Supervised Feature Extraction-Selection Approach

Due to the growing number of data-driven approaches, especially in artificial intelligence and machine learning, extracting appropriate information from the gathered data with the best performance is a remarkable challenge. The other important aspect of this issue is storage costs. The principal com...

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Detalles Bibliográficos

Principais autores:	Amir Mehrabinezhad, Mohammad Teshnelab, Arash Sharifi
Formato:	Artigo
Idioma:	Inglês
Publicado:	Shahrood University of Technology 2023-11-01
Series:	Journal of Artificial Intelligence and Data Mining
Assuntos:	principal component analysis (pca) online pca autoencoder stacked autoencoder semi-supervised learning
Acceso en liña:	https://jad.shahroodut.ac.ir/article_2994_e204f4d28398fdfebe00d17a34901943.pdf
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