Combinatorial designs for deep learning

DOI10.1002/jcd.21720arXiv1809.08404MaRDI QIDQ6146764

Shoko Chisaki, Nobuko Miyamoto, Ryoh Fuji-Hara

Publication date: 31 January 2024

Published in: Journal of Combinatorial Designs (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1809.08404

zbMATH Keywords

deep learningdropoutsplit-block designdropout design

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Combinatorial aspects of block designs (05B05) Applications of design theory to circuits and networks (94C30)

Related Items (1)

A construction for circulant type dropout designs

Cites Work

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• Optimality and constructions of incomplete split-block designs
• Bipartite decomposition of complete multipartite graphs
• Split orthogonal arrays and maximum independent resilient systems of functions
• Mixed block designs
• Incomplete Split-Block Designs
• Bipartite designs
• Constructions for a certain type of balanced bipartite block designs

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