Simulated time-dependent data to estimate uncertainty in fluid flow measurements

2018 ◽  
Vol 337 ◽  
pp. 221-227 ◽  
Author(s):  
Matthew Herald ◽  
Zachary Bingham ◽  
Roque Santos ◽  
Arthur Ruggles
2016 ◽  
Author(s):  
Joshua Joseph Cogliati ◽  
Jun Chen ◽  
Japan Ketan Patel ◽  
Diego Mandelli ◽  
Daniel Patrick Maljovec ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Mingchen Yao ◽  
Chao Zhang ◽  
Wei Wu

Many generalization results in learning theory are established under the assumption that samples are independent and identically distributed (i.i.d.). However, numerous learning tasks in practical applications involve the time-dependent data. In this paper, we propose a theoretical framework to analyze the generalization performance of the empirical risk minimization (ERM) principle for sequences of time-dependent samples (TDS). In particular, we first present the generalization bound of ERM principle for TDS. By introducing some auxiliary quantities, we also give a further analysis of the generalization properties and the asymptotical behaviors of ERM principle for TDS.


2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
F. Hosseinzadeh Lotfi ◽  
Z. Taeb ◽  
S. Abbasbandy

To evaluate each decision making unit having time dependent inputs and outputs data, a new method has been developed and reported here. This method uses the Malmquist productivity index, and is a very simple function based on Cubic Spline function to determine the progress and regress of that unit. To show the capability of this developed method, the data of 9 branches of a commercial bank has been used, evaluated, and reported.


Author(s):  
Francis S. Tse ◽  
Ivan E. Morse
Keyword(s):  

2007 ◽  
Author(s):  
Ralf B. Schulz ◽  
Martin Schweiger ◽  
Cosimo D'Andrea ◽  
Gianluca Valentini ◽  
Jörg Peter ◽  
...  

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