Zobrazeno 1 - 4
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pro vyhledávání: '"Tanner A. Bohn"'
Publikováno v:
SIAM Journal on Scientific Computing. 41:C194-C218
The speed of mathematical function evaluations can significantly contribute to the overall performance of numerical simulations. Two common approaches to evaluate a mathematical function are by dir...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45a39a2ffe1b52dfc48640e42abfd19e
https://doi.org/10.1137/18m1201421
https://doi.org/10.1137/18m1201421
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783030473570
Canadian Conference on AI
Canadian Conference on AI
Machine learning, especially deep learning, has been successfully applied to a wide array of computer vision classification tasks in recent years. Infamous for requiring massive amounts of data to perform well at image classification problems, deep l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9edaca947c6c82fd927c8616cf859a00
https://doi.org/10.1007/978-3-030-47358-7_54
https://doi.org/10.1007/978-3-030-47358-7_54
Autor:
Charles X. Ling, Tanner A. Bohn
Publikováno v:
COLING
To advance understanding on how to engage readers, we advocate the novel task of automatic pull quote selection. Pull quotes are a component of articles specifically designed to catch the attention of readers with spans of text selected from the arti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b245c26caf26d7c92dfe112c1d45453d
https://doi.org/10.18653/v1/2020.coling-main.6
https://doi.org/10.18653/v1/2020.coling-main.6
Publikováno v:
RANLP
We present a novel and effective technique for performing text coherence tasks while facilitating deeper insights into the data. Despite obtaining ever-increasing task performance, modern deep-learning approaches to NLP tasks often only provide users
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::386ab92f243302cc53b0ff0900466665