Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Leman, Scotland"'
This paper presents a novel approach to level set estimation for any function/simulation with an arbitrary number of continuous inputs and arbitrary numbers of continuous responses. We present a method that uses existing data from computer model simu
Externí odkaz:
http://arxiv.org/abs/2407.05914
Dimension reduction and visualization is a staple of data analytics. Methods such as Principal Component Analysis (PCA) and Multidimensional Scaling (MDS) provide low dimensional (LD) projections of high dimensional (HD) data while preserving an HD r
Externí odkaz:
http://arxiv.org/abs/1709.04835
Storytelling algorithms aim to 'connect the dots' between disparate documents by linking starting and ending documents through a series of intermediate documents. Existing storytelling algorithms are based on notions of coherence and connectivity, an
Externí odkaz:
http://arxiv.org/abs/1602.06566
Autor:
Dowling, Michelle, Wycoff, Nathan, Mayer, Brian, Wenskovitch, John, Leman, Scotland, House, Leanna, Polys, Nicholas, North, Chris, Hauck, Peter
Publikováno v:
In Big Data Research July 2019 16:49-58
Publikováno v:
In Computational Statistics and Data Analysis December 2018 128:340-353
Publikováno v:
Journal of Computational and Graphical Statistics, 2018 Jun 01. 27(2), 436-448.
Externí odkaz:
https://www.jstor.org/stable/44862083
Autor:
Carzolio, Marcos, Leman, Scotland
Publikováno v:
In Computational Statistics and Data Analysis October 2017 114:26-37
Publikováno v:
Journal of the Royal Statistical Society. Series C (Applied Statistics), 2016 Aug 01. 65(4), 529-545.
Externí odkaz:
http://www.jstor.org/stable/24773038
Publikováno v:
The American Statistician, 2015 Nov 01. 69(4), 397-408.
Externí odkaz:
http://www.jstor.org/stable/24592141
Publikováno v:
Technometrics, 2015 Aug 01. 57(3), 332-340.
Externí odkaz:
http://www.jstor.org/stable/24586945