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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 561 to 570 of 35218 (0.081 seconds)Spelling suggestions: "subject:"then “other”"" "subject:"then “ether”""
| 561 |
Optionsprissättning och monotona förhållanden i BinomialmodellenEdvardsson, Emma January 2020 (has links)
No description available.
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| 562 |
The European Union’s First Steps on the Ice : An Analysis on EU Policymaking on the ArcticSaenger, Annlelot January 2020 (has links)
No description available.
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| 563 |
Pricing of Interest Rate Derivatives under the Cheyette modelNyamai, Dayton January 2020 (has links)
No description available.
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| 564 |
A Study of Dempster-Shafer's Theory of Evidence in Comparison to Classical Probability CombinationSeims, Scott J 01 June 2009 (has links)
ABSTRACT
A Study of Dempster-Shafer’s Theory of Evidence in Comparison to Classical Probability Combination
Scott J. Seims
This thesis is an assessment on the effectiveness of Dempster-Shafer’s Theory of Evidence in comparison to Classical Probabilistic Combination as it applies to Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). A three feature based classifier (peaks, corners and edges) ATR system is presented. These classifiers are assumed to be independent. The results of both the weight-based Maximum Likelihood and Dempster-Shafer’s Theory of Evidence data fusion techniques are presented.
Using Dempster-Shafer an accuracy of 77.50 percent is obtained, which is less than the 86.25 percent accuracy of target-specific weight-based Maximum Likelihood[6]. Inagaki’s Unified Combination Rule is implemented as a means to increase SAR ATR accuracy and explore further modifications of Dempster-Shafer. Inagaki’s Unified Combination Rule contains Yager’s and Dempster’s Combination Rules as well as Inagaki’s Extra Rule[17][10]. The maximum accuracy achieved using Inagaki’s Unified Combination Rule was 75.00 percent.
It was concluded that this application lends itself better to classical probabilistic combination. Due to the single sensor (SAR) and the quasi-independence of the three feature based classifiers, Dempster-Shafer’s Theory of Evidence can not be utilized to its full potential.
This thesis is a continuation of Hausdorff Probabilistic Feature Analysis in SAR Image Recognition by Chessa Guilas[6]. Thesis research is directed by Dr. John A. Saghri and sponsored by Raytheon Space & Airborne Systems, El Segundo, California.
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| 565 |
Mathematical aspects of Pairs TradingOrfanidis, Georgios January 2020 (has links)
No description available.
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| 566 |
Interpolation of the yield curveDehlbom, Gustaf January 2020 (has links)
No description available.
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| 567 |
Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression ForestCastoe, Minna January 2020 (has links)
No description available.
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| 568 |
Spelteori och auktionsmatematikTilli, Johan January 2020 (has links)
No description available.
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| 569 |
Fairness and parameter importance in logistic regression models of criminal sentencing dataKaponen, Martina January 2020 (has links)
No description available.
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| 570 |
Reed-Solomon Codes: Error Correcting CodesSkoglund, Isabell January 2020 (has links)
In the following pages an introduction of the error correcting codes known as Reed-Solomon codes will be presented together with different approaches for decoding. This is supplemented by a Mathematica program and a description of this program that gives an understanding in how the choice of decoding algorithms affect the time it takes to find errors in stored or transmitted information.
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