Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Cahoon, Joyce"'
Autor:
Zhu, Yiwen, Tian, Yuanyuan, Cahoon, Joyce, Krishnan, Subru, Agarwal, Ankita, Alotaibi, Rana, Camacho-Rodríguez, Jesús, Chundatt, Bibin, Chung, Andrew, Dutta, Niharika, Fogarty, Andrew, Gruenheid, Anja, Haynes, Brandon, Interlandi, Matteo, Iyer, Minu, Jurgens, Nick, Khushalani, Sumeet, Kroth, Brian, Kumar, Manoj, Leeka, Jyoti, Matusevych, Sergiy, Mittal, Minni, Mueller, Andreas, Muthyala, Kartheek, Nagulapalli, Harsha, Park, Yoonjae, Patel, Hiren, Pavlenko, Anna, Poppe, Olga, Ravindran, Santhosh, Saur, Karla, Sen, Rathijit, Suh, Steve, Tarafdar, Arijit, Waghray, Kunal, Wang, Demin, Curino, Carlo, Ramakrishnan, Raghu
Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range of tasks. However, the cloud brings in both complexity and opportunit
Externí odkaz:
http://arxiv.org/abs/2405.01813
Autor:
Zhang, Yunjia, Henkel, Jordan, Floratou, Avrilia, Cahoon, Joyce, Deep, Shaleen, Patel, Jignesh M.
Table Question Answering (TQA) presents a substantial challenge at the intersection of natural language processing and data analytics. This task involves answering natural language (NL) questions on top of tabular data, demanding proficiency in logic
Externí odkaz:
http://arxiv.org/abs/2310.00815
Autor:
Khatry, Anirudh, Cahoon, Joyce, Henkel, Jordan, Deep, Shaleen, Emani, Venkatesh, Floratou, Avrilia, Gulwani, Sumit, Le, Vu, Raza, Mohammad, Shi, Sherry, Singh, Mukul, Tiwari, Ashish
Creating programs to correctly manipulate data is a difficult task, as the underlying programming languages and APIs can be challenging to learn for many users who are not skilled programmers. Large language models (LLMs) demonstrate remarkable poten
Externí odkaz:
http://arxiv.org/abs/2305.01598
Autor:
Cahoon, Joyce, Wang, Wenjing, Zhu, Yiwen, Lin, Katherine, Liu, Sean, Truong, Raymond, Singh, Neetu, Wan, Chengcheng, Ciortea, Alexandra M, Narasimhan, Sreraman, Krishnan, Subru
Publikováno v:
Proceedings of the VLDB Endowment 15 (12), 3509-3521, 2022
Selecting the optimal cloud target to migrate SQL estates from on-premises to the cloud remains a challenge. Current solutions are not only time-consuming and error-prone, requiring significant user input, but also fail to provide appropriate recomme
Externí odkaz:
http://arxiv.org/abs/2208.04978
Autor:
Cahoon, Joyce, Martin, Ryan
Publikováno v:
International Journal of Approximate Reasoning, volume 137, pages 51--66, 2021
Inferential challenges that arise when data are censored have been extensively studied under the classical frameworks. In this paper, we provide an alternative generalized inferential model approach whose output is a data-dependent plausibility funct
Externí odkaz:
http://arxiv.org/abs/1912.00037
Autor:
Cahoon, Joyce, Martin, Ryan
Publikováno v:
Statistics and Applications, volume 18, pages 299--316, 2020
Meta-analysis based on only a few studies remains a challenging problem, as an accurate estimate of the between-study variance is apparently needed, but hard to attain, within this setting. Here we offer a new approach, based on the generalized infer
Externí odkaz:
http://arxiv.org/abs/1910.00533
Akademický článek
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Autor:
Cahoon, Joyce, Martin, Ryan
Publikováno v:
In International Journal of Approximate Reasoning October 2021 137:51-66
Autor:
Cahoon, Joyce, Wang, Wenjing, Zhu, Yiwen, Lin, Katherine, Liu, Sean, Truong, Raymond, Singh, Neetu, Wan, Chengcheng, Ciortea, Alexandra M, Narasimhan, Sreraman, Krishnan, Subru
Publikováno v:
Proceedings of the VLDB Endowment. 15:3509-3521
Selecting the optimal cloud target to migrate SQL estates from on-premises to the cloud remains a challenge. Current solutions are not only time-consuming and error-prone, requiring significant user input, but also fail to provide appropriate recomme
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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