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pro vyhledávání: '"Marshall, Dan"'
Autor:
Inala, Jeevana Priya, Wang, Chenglong, Drucker, Steven, Ramos, Gonzalo, Dibia, Victor, Riche, Nathalie, Brown, Dave, Marshall, Dan, Gao, Jianfeng
This paper explores the potential of AI-powered tools to reshape data analysis, focusing on design considerations and challenges. We explore how the emergence of large language and multimodal models offers new opportunities to enhance various stages
Externí odkaz:
http://arxiv.org/abs/2409.18475
To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals. To achieve this, analysts need not only proficiency in data transformation and visualization tools
Externí odkaz:
http://arxiv.org/abs/2408.16119
Autor:
Marshall, Dan1 (AUTHOR) danmarshall@ln.edu.hk
Publikováno v:
Inquiry. Jul2024, Vol. 67 Issue 6, p1640-1715. 76p.
Akademický článek
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Autor:
Marshall, Dan1 (AUTHOR) danmarshall@ln.edu.hk
Publikováno v:
Philosophical Perspectives. Dec2022, Vol. 36 Issue 1, p182-215. 34p.
Autor:
Marshall, Dan
The symmetric Macdonald polynomials are able to be constructed out of the non-symmetric Macdonald polynomials. This allows us to develop the theory of the symmetric Macdonald polynomials by first developing the theory of their non-symmetric counterpa
Externí odkaz:
http://arxiv.org/abs/math/9812080
Autor:
Marshall, Dan
Publikováno v:
Proceedings of the American Mathematical Society, 2003 Jun 01. 131(6), 1817-1827.
Externí odkaz:
https://www.jstor.org/stable/1194360
Autor:
Marshall, Dan
Publikováno v:
Noûs, 2016 Dec 01. 50(4), 704-739.
Externí odkaz:
https://www.jstor.org/stable/26631426
Autor:
Marshall, Dan, Parsons, Josh
Publikováno v:
Philosophy and Phenomenological Research, 2001 Sep 01. 63(2), 347-351.
Externí odkaz:
https://www.jstor.org/stable/3071067