Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Pottinger, Rachel A."'
The rise of large language models (LLMs) has significantly impacted various domains, including natural language processing (NLP) and image generation, by making complex computational tasks more accessible. While LLMs demonstrate impressive generative
Externí odkaz:
http://arxiv.org/abs/2410.10680
Formulating efficient SQL queries requires several cycles of tuning and execution, particularly for inexperienced users. We examine methods that can accelerate and improve this interaction by providing insights about SQL queries prior to execution. W
Externí odkaz:
http://arxiv.org/abs/2002.09091
Standard collaborative filtering approaches for top-N recommendation are biased toward popular items. As a result, they recommend items that users are likely aware of and under-represent long-tail items. This is inadequate, both for consumers who pre
Externí odkaz:
http://arxiv.org/abs/1803.00146
Data warehouses are overwhelmingly built through a bottom-up process, which starts with the identification of sources, continues with the extraction and transformation of data from these sources, and then loads the data into a set of data marts accor
Externí odkaz:
http://arxiv.org/abs/1009.0255
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Advanced Engineering Informatics August 2017 33:181-205
Publikováno v:
In Automation in Construction September 2014 45:107-118
Autor:
Tory, Melanie, Staub-French, Sheryl, Huang, Dandan, Chang, Yu-Ling, Swindells, Colin, Pottinger, Rachel
Publikováno v:
In Automation in Construction January 2013 29:68-82
Publikováno v:
In Advanced Engineering Informatics October 2012 26(4):904-923