Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Guiyun Feng"'
Publikováno v:
IEEE Access, Vol 10, Pp 65271-65283 (2022)
The data in modern educational information systems are not given enough attention and are not fully utilized. Therefore, the motivations of our study are to preliminarily explore learning behavior patterns by applying process mining to educational da
Externí odkaz:
https://doaj.org/article/effd169b3c3a47cba0e737b5c8232244
Publikováno v:
IEEE Access, Vol 10, Pp 19558-19571 (2022)
The development of intelligent technologies gains popularity in the education field. The rapid growth of educational data indicates traditional processing methods may have limitations and distortion. Therefore, reconstructing the research technology
Externí odkaz:
https://doaj.org/article/1619b8975a7047dfba0bda957f55c63b
Publikováno v:
Operations Research. 65:1516-1525
In this paper, we study the relationship between several well known classes of discrete choice models, i.e., the random utility model (RUM), the representative agent model (RAM), and the semiparametric choice model (SCM). Using a welfare-based model
Autor:
Guangwu Liu, Guiyun Feng
Conditional Monte Carlo (CMC) has been widely used for sensitivity estimation with discontinuous integrands as a standard simulation technique. A major limitation of using CMC in this context is that finding conditioning variables to ensure continuit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91b5428a35f373310eee4393d397f9bb
Publikováno v:
SSRN Electronic Journal.
Based on the observation that many existing discrete choice models admit a welfare function of utilities whose gradient gives the choice probability vector, we propose a new representation of discrete choice model which we call the welfare-based choi
Publikováno v:
2013 Winter Simulations Conference (WSC).