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%0 Journal Article
%1 journals/corr/abs-2310-11654
%A Lee, Hangbin
%A Ha, Il Do
%A Hwang, Changha
%A Lee, Youngjo
%D 2023
%J CoRR
%K dblp
%T Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features.
%U http://dblp.uni-trier.de/db/journals/corr/corr2310.html#abs-2310-11654
%V abs/2310.11654
@article{journals/corr/abs-2310-11654,
added-at = {2023-10-27T00:00:00.000+0200},
author = {Lee, Hangbin and Ha, Il Do and Hwang, Changha and Lee, Youngjo},
biburl = {https://www.bibsonomy.org/bibtex/2dddec6fbb9cb4f4ab425aa9eab36f396/dblp},
ee = {https://doi.org/10.48550/arXiv.2310.11654},
interhash = {9150021e072df130fb93a71a2639a629},
intrahash = {dddec6fbb9cb4f4ab425aa9eab36f396},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-08T23:50:21.000+0200},
title = {Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2310.html#abs-2310-11654},
volume = {abs/2310.11654},
year = 2023
}