Zobrazeno 1 - 2
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pro vyhledávání: '"Dmytro Androsov"'
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 1 (2022)
Encoder-decoder neural network models have found widespread use in recent years for solving various machine learning problems. In this paper, we investigate the variety of such models, including the sparse, denoising and variational autoencoders. To
Externí odkaz:
https://doaj.org/article/adfcd0ea8bfa4c0f8b16bee4beca8de6
Autor:
Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros
This two-volume set, LNCS 15346 and LNCS 15347, constitutes the proceedings of the 25th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2024, held in Valencia, Spain, during November 20–22, 2024. The 86 full p
