Results 11 to 20 of about 15,971,534 (326)
Sequential Design for Ranking Response Surfaces [PDF]
SIAM/ASA J. Uncertain. Quantification, 2016 We propose and analyze sequential design methods for the problem of ranking several response surfaces. Namely, given $L \ge 2$ response surfaces over a continuous input space $\cal X$, the aim is to efficiently find the index of the minimal response ...
Hu, Ruimeng, Ludkovski, Mike
core +2 more sources
Theory of synergistic effects: Hill-type response surfaces as 'null-interaction' models for mixtures. [PDF]
Theor Biol Med Model, 2017 The classification of effects caused by mixtures of agents as synergistic, antagonistic or additive depends critically on the reference model of ‘null interaction’.
Schindler M.
europepmc +2 more sources
Deep learning for ranking response surfaces with applications to optimal stopping problems [PDF]
Quantitative finance (Print), 2019 In this paper, we propose deep learning algorithms for ranking response surfaces with applications to optimal stopping problems in financial mathematics.
Ruimeng Hu
semanticscholar +1 more source
Response surface methodology revisited [PDF]
Proceedings of the Winter Simulation Conference, 2003 Response surface methodology (RSM) searches for the input combination that optimizes the simulation output. RSM treats the simulation model as a black box. Moreover, this paper assumes that simulation requires much computer time. In the first stages of its search, RSM locally fits first-order polynomials.
Angun, M.E. +3 more
openaire +5 more sources
Modeling of a lay-flat plastic hose extrusion process [PDF]
Modeling, Identification and Control, 2017 Many complex processes have a low degree of automation, and oftentimes important quality information is only available hours or even days after the production is completed.
Ellen Nordgård-Hansen +2 more
doaj +1 more source
Біологічні студії, 2015 Paper presents kinetic models of changes in genetic controlling systems of cells in the states of cell proliferation and differentiation. It was shown that the changes in the genetic control of cells in the state of proliferation and differentiation ...
I. V. Stadnyk, D. I. Sanagursky
doaj +1 more source
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995 SUMMARY In this paper we define a response surface bandit as the sequential design problem that maximizes an expected bandit utility but where the outcomes yn are continuous and can be related through a response surface to a set of controllable variables xn = (x 1n, x 2n,···, xkn). We link this problem to other traditional optimization
Ginebra, Josep, Clayton, Murray K.
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Progress in Disaster Science, 2020 The Sendai Framework for Disaster Risk Reduction (SFDRR) was adopted by 187 countries and offers a tangible agenda for evidence-based policy for disaster risk reduction as an integral part of the overall post-2015 global development agenda.
Yvonne Walz +9 more
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Response Surface Methodology [PDF]
SSRN Electronic Journal, 2014 This chapter first summarizes Response Surface Methodology (RSM), which started with Box and Wilson’s 1951 article on RSM for real, non-simulated systems. RSM is a stepwise heuristic that uses first-order polynomials to approximate the response surface locally.
openaire +3 more sources
Journal of Functional Biomaterials, 2023 Ultraviolet (UV) photofunctionalization has been demonstrated to synergistically improve the osteoblast response and reduce biofilm formation on titanium (Ti) surfaces.
Yin Wen +6 more
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