scholarly journals A Test of the Predictive Validity of Non-linear QALY Models Using Time Trade-off Utilities

2004 ◽  
Author(s):  
José Luis Pinto Prades ◽  
José María María Abellán Perpiñán ◽  
Ildefonso Mendez ◽  
Xabier Badia
Metaphysica ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Márta Ujvári

Abstract The recent holistic trends in metaphysics are surveyed here and a tentative typology is offered. The non-linear mode of composition is suggested as the key feature of holism, apart from its familiar non-reductionism and emergentism. It is argued that those holistic views are promising that refrain from extreme relationalism based on the denial of there being self-subsistence particulars; also, those refraining from the postulation of an unarticulated all-embracing whole where both relations and terms are denied to be genuine ontological items. The further suggestion is that a trade-off between the holistic perspective and the limits imposed upon it in the form of built-in confinements may help in making this metaphysics go.


2014 ◽  
Vol 28 ◽  
pp. 60-77 ◽  
Author(s):  
Enrique Salvador ◽  
Christos Floros ◽  
Vicent Arago
Keyword(s):  

2019 ◽  
Vol 83 ◽  
pp. 77-85 ◽  
Author(s):  
Mohan Julien ◽  
Serge Bernard ◽  
Fabien Soulier ◽  
Vincent Kerzèrho ◽  
Guy Cathèbras
Keyword(s):  

2002 ◽  
Author(s):  
Alvaro Pinto Coelho de Aguiar ◽  
Manuel Mota Freitas Martins
Keyword(s):  

2012 ◽  
Vol 239-240 ◽  
pp. 1264-1268
Author(s):  
Zhu Cheng Li

This paper introduces a new algorithm based on non-linear function to adaptively control step-size which is used for updating separation matrix to extract a target speech source accurately in blind source separation (BSS). The use of fixed step-size parameter of the conventional BSS algorithm usually results in a trade-off between convergence speed and steady-state misadjustment. The presented algorithm will eliminate much of this trade-off. It intelligently regulates the step-size according to the time-varying dynamics of other parameters at each iteration. The desirable ability of the new algorithm to improve convergence speed and steady-state misadjustment is demonstrated by MATLAB simulation results.


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