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Surrogate data
Known as:
Analogous data
Surrogate data, sometimes known as analogous data, usually refers to time series data that is produced using well-defined (linear) models like ARMA…
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Related topics
Related topics
4 relations
Autocorrelation
Mathematical model
Surrogate model
Time series
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Deep Neural Networks As Time Series Forecasters of Energy Demand
Gregory Merkel
2017
Corpus ID: 67384342
DEEP NEURAL NETWORKS AS TIME SERIES FORECASTERS OF ENERGY DEMAND Gregory D. Merkel, B.S. Marquette University, 2017 Short-term…
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2016
2016
Description of the methods for describing and assessing the appropriateness of antibiotic prescribing and adherence to published treatment guidelines in an academic medical clinic
M. Klepser
,
Ashley Altom
,
Colleen L MacCallum
,
E. Nordquist
,
D. Klepser
2016
Corpus ID: 8219421
Overuse and inappropriate use of antibiotics have been associated with increased rates of antimicrobial resistance and increased…
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2015
2015
Brighter than the sun: Powerscape visualizations illustrate power needs in neuroscience and psychology
P. Wallisch
2015
Corpus ID: 31377058
Participant needs to achieve a given power are frequently underestimated. This is particularly problematic when effect sizes are…
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2014
2014
Nonlinear time series analysis of annual temperatures concerning the global Earth climate
G. Halkos
,
Kyriaki D. Tsilika
2014
Corpus ID: 59578828
This paper presents results concerning the nonlinear analysis of the mean annual value temperature time series corresponding to…
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2014
2014
Concise Pattern Learning for RDF Data Sets Interlinking. (Apprentissage de Motifs Concis pour le Liage de Donnees RDF)
Z. Fan
2014
Corpus ID: 28133738
There are many data sets being published on the web with Semantic Web technology. The data sets usually contain analogous data…
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2013
2013
Determination of fracture mechanics parameters on a base of local displacement measurements
Y. Matvienko
,
V. Pisarev
,
S. Eleonsky
2013
Corpus ID: 67774445
New experimental technique for a determination of the stress intensity factor (SIF) and T-stress values is developed and verified…
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2009
2009
Effect of refractoriness on learning performance of a pattern sequence
Susumu Nagatoishi
,
Osamu Araki
International Joint Conference on Neural Networks
2009
Corpus ID: 2429713
The primary purpose of this study is to reveal the effects of refractoriness on learning performance. We simulated that Elman…
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2009
2009
An Image Inpainting Based Surrogate Data Strategy for Metal Artifact Reduction in CT Images
M. Oehler
,
T. Buzug
2009
Corpus ID: 61769791
The goal of this work is the reduction of metal artifacts in reconstructed CT images. Mathematically, those artifacts are caused…
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1998
1998
Thermodynamics of the Association Reaction of Na+ and Br- Ions in (70, 80, 90, and 95 Mass per Cent) 2-Butanol + Water Mixtures
I. Tominić
,
V. Sokol
,
I. Mekjavić
1998
Corpus ID: 2756666
Molar conductivities of NaBr electrolyte in 2-butanol + water mixtures (w2-butanol = 0.7, 0.8, 0.9, 0.95 ) were mesaured in the…
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1997
1997
Using surrogate data to test for nonlinearity in experimental data
M. Small
,
K. Judd
1997
Corpus ID: 18775438
| The technique of surrogate data provides has been used to test for membership of particular classes of linear systems. Existing…
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