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You searched for +publisher:"Duquesne University" +contributor:("Donald Simon"). Showing records 1 – 10 of 10 total matches.

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Duquesne University

1. Overly, James Orlo. The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework.

Degree: MS, Computational Mathematics, 2014, Duquesne University

 In this paper, we seek to describe, test, evaluate, and compare methods of open class attribution that utilize multiple unique closed class attributions in a… (more)

Subjects/Keywords: Authorship Attribution; JGAAP; Open Class

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APA (6th Edition):

Overly, J. O. (2014). The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/1003

Chicago Manual of Style (16th Edition):

Overly, James Orlo. “The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework.” 2014. Masters Thesis, Duquesne University. Accessed February 17, 2019. https://dsc.duq.edu/etd/1003.

MLA Handbook (7th Edition):

Overly, James Orlo. “The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework.” 2014. Web. 17 Feb 2019.

Vancouver:

Overly JO. The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework. [Internet] [Masters thesis]. Duquesne University; 2014. [cited 2019 Feb 17]. Available from: https://dsc.duq.edu/etd/1003.

Council of Science Editors:

Overly JO. The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework. [Masters Thesis]. Duquesne University; 2014. Available from: https://dsc.duq.edu/etd/1003


Duquesne University

2. Lowden, Jonathan. Optimal Control Applied to a Mathematical Model for Vancomycin-Resistant Enterococci.

Degree: MS, Computational Mathematics, 2013, Duquesne University

 Enterococci bacteria that cannot be treated effectively with the antibiotic vancomycin are termed Vancomycin-Resistant Enterococci (VRE). In this thesis, we develop a mathematical framework for… (more)

Subjects/Keywords: Enterococci; Optimal control; Vancomycin; Vancomycin-Resistant Enterococci

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APA (6th Edition):

Lowden, J. (2013). Optimal Control Applied to a Mathematical Model for Vancomycin-Resistant Enterococci. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/837

Chicago Manual of Style (16th Edition):

Lowden, Jonathan. “Optimal Control Applied to a Mathematical Model for Vancomycin-Resistant Enterococci.” 2013. Masters Thesis, Duquesne University. Accessed February 17, 2019. https://dsc.duq.edu/etd/837.

MLA Handbook (7th Edition):

Lowden, Jonathan. “Optimal Control Applied to a Mathematical Model for Vancomycin-Resistant Enterococci.” 2013. Web. 17 Feb 2019.

Vancouver:

Lowden J. Optimal Control Applied to a Mathematical Model for Vancomycin-Resistant Enterococci. [Internet] [Masters thesis]. Duquesne University; 2013. [cited 2019 Feb 17]. Available from: https://dsc.duq.edu/etd/837.

Council of Science Editors:

Lowden J. Optimal Control Applied to a Mathematical Model for Vancomycin-Resistant Enterococci. [Masters Thesis]. Duquesne University; 2013. Available from: https://dsc.duq.edu/etd/837


Duquesne University

3. Maldonado, Hernan. Bayesian Regression Inference Using a Normal Mixture Model.

Degree: MS, Computational Mathematics, 2012, Duquesne University

 In this thesis we develop a two component mixture model to perform a Bayesian regression. We implement our model computationally using the Gibbs sampler algorithm… (more)

Subjects/Keywords: Bayesian regression; Gibbs sampler; Label switching problem; Latent variables; Mixture models; Two component

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APA (6th Edition):

Maldonado, H. (2012). Bayesian Regression Inference Using a Normal Mixture Model. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/859

Chicago Manual of Style (16th Edition):

Maldonado, Hernan. “Bayesian Regression Inference Using a Normal Mixture Model.” 2012. Masters Thesis, Duquesne University. Accessed February 17, 2019. https://dsc.duq.edu/etd/859.

MLA Handbook (7th Edition):

Maldonado, Hernan. “Bayesian Regression Inference Using a Normal Mixture Model.” 2012. Web. 17 Feb 2019.

Vancouver:

Maldonado H. Bayesian Regression Inference Using a Normal Mixture Model. [Internet] [Masters thesis]. Duquesne University; 2012. [cited 2019 Feb 17]. Available from: https://dsc.duq.edu/etd/859.

Council of Science Editors:

Maldonado H. Bayesian Regression Inference Using a Normal Mixture Model. [Masters Thesis]. Duquesne University; 2012. Available from: https://dsc.duq.edu/etd/859


Duquesne University

4. Pernischova, Nicole. A Finite Element Approach to Model Electromagnetic Fields Scattered by a Buried Cavity.

Degree: MS, Computational Mathematics, 2009, Duquesne University

 This research investigates the plane-wave scattering from a two-dimensional arbitrarily shaped cavity embedded in an infinite metallic surface that has been covered with a layer… (more)

Subjects/Keywords: cavity; electromagnetic fields; finite element; scattering; TE; TM

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APA (6th Edition):

Pernischova, N. (2009). A Finite Element Approach to Model Electromagnetic Fields Scattered by a Buried Cavity. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/1037

Chicago Manual of Style (16th Edition):

Pernischova, Nicole. “A Finite Element Approach to Model Electromagnetic Fields Scattered by a Buried Cavity.” 2009. Masters Thesis, Duquesne University. Accessed February 17, 2019. https://dsc.duq.edu/etd/1037.

MLA Handbook (7th Edition):

Pernischova, Nicole. “A Finite Element Approach to Model Electromagnetic Fields Scattered by a Buried Cavity.” 2009. Web. 17 Feb 2019.

Vancouver:

Pernischova N. A Finite Element Approach to Model Electromagnetic Fields Scattered by a Buried Cavity. [Internet] [Masters thesis]. Duquesne University; 2009. [cited 2019 Feb 17]. Available from: https://dsc.duq.edu/etd/1037.

Council of Science Editors:

Pernischova N. A Finite Element Approach to Model Electromagnetic Fields Scattered by a Buried Cavity. [Masters Thesis]. Duquesne University; 2009. Available from: https://dsc.duq.edu/etd/1037


Duquesne University

5. Vescovi, Darren. Best Practices in Authorship Attribution of English Essays.

Degree: MS, Computational Mathematics, 2011, Duquesne University

 Logistic regression analysis is used to determine the best practices in authorship attribution for English essays, specifically examining the methods available in JGAAP version 4.3… (more)

Subjects/Keywords: Authorship attribution; English essays; Logistic regression

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APA (6th Edition):

Vescovi, D. (2011). Best Practices in Authorship Attribution of English Essays. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/1310

Chicago Manual of Style (16th Edition):

Vescovi, Darren. “Best Practices in Authorship Attribution of English Essays.” 2011. Masters Thesis, Duquesne University. Accessed February 17, 2019. https://dsc.duq.edu/etd/1310.

MLA Handbook (7th Edition):

Vescovi, Darren. “Best Practices in Authorship Attribution of English Essays.” 2011. Web. 17 Feb 2019.

Vancouver:

Vescovi D. Best Practices in Authorship Attribution of English Essays. [Internet] [Masters thesis]. Duquesne University; 2011. [cited 2019 Feb 17]. Available from: https://dsc.duq.edu/etd/1310.

Council of Science Editors:

Vescovi D. Best Practices in Authorship Attribution of English Essays. [Masters Thesis]. Duquesne University; 2011. Available from: https://dsc.duq.edu/etd/1310


Duquesne University

6. Booth, Joshua. Compressive Sensing.

Degree: MS, Computational Mathematics, 2010, Duquesne University

 This work is an expository overview of certain key elements in the area of compressive sensing. As a sub-discipline of signal processing, compressive sensing is… (more)

Subjects/Keywords: compressive sensing; expander graphs; random matrix; signal processing; sparse signal

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APA (6th Edition):

Booth, J. (2010). Compressive Sensing. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/340

Chicago Manual of Style (16th Edition):

Booth, Joshua. “Compressive Sensing.” 2010. Masters Thesis, Duquesne University. Accessed February 17, 2019. https://dsc.duq.edu/etd/340.

MLA Handbook (7th Edition):

Booth, Joshua. “Compressive Sensing.” 2010. Web. 17 Feb 2019.

Vancouver:

Booth J. Compressive Sensing. [Internet] [Masters thesis]. Duquesne University; 2010. [cited 2019 Feb 17]. Available from: https://dsc.duq.edu/etd/340.

Council of Science Editors:

Booth J. Compressive Sensing. [Masters Thesis]. Duquesne University; 2010. Available from: https://dsc.duq.edu/etd/340


Duquesne University

7. Cotter, Steven. Improving Search Results with Automated Summarization and Sentence Clustering.

Degree: MS, Computational Mathematics, 2012, Duquesne University

 Have you ever searched for something on the web and been overloaded with irrelevant results? Many search engines tend to cast a very wide net… (more)

Subjects/Keywords: Automatic summarization; Extractive summarization; Search engine precision; Sentence clustering; Spectral clustering; TextRank

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APA (6th Edition):

Cotter, S. (2012). Improving Search Results with Automated Summarization and Sentence Clustering. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/434

Chicago Manual of Style (16th Edition):

Cotter, Steven. “Improving Search Results with Automated Summarization and Sentence Clustering.” 2012. Masters Thesis, Duquesne University. Accessed February 17, 2019. https://dsc.duq.edu/etd/434.

MLA Handbook (7th Edition):

Cotter, Steven. “Improving Search Results with Automated Summarization and Sentence Clustering.” 2012. Web. 17 Feb 2019.

Vancouver:

Cotter S. Improving Search Results with Automated Summarization and Sentence Clustering. [Internet] [Masters thesis]. Duquesne University; 2012. [cited 2019 Feb 17]. Available from: https://dsc.duq.edu/etd/434.

Council of Science Editors:

Cotter S. Improving Search Results with Automated Summarization and Sentence Clustering. [Masters Thesis]. Duquesne University; 2012. Available from: https://dsc.duq.edu/etd/434


Duquesne University

8. Garuccio, Anthony. A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models.

Degree: MS, Computational Mathematics, 2016, Duquesne University

 In this thesis, we present a novel approach to solving optimization problems that are defined on agent-based models (ABM). The approach utilizes concepts in genetic… (more)

Subjects/Keywords: Agent Based Modeling; Genetic Programing; Optimal Control; Sugarscape; Taxation

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APA (6th Edition):

Garuccio, A. (2016). A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/569

Chicago Manual of Style (16th Edition):

Garuccio, Anthony. “A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models.” 2016. Masters Thesis, Duquesne University. Accessed February 17, 2019. https://dsc.duq.edu/etd/569.

MLA Handbook (7th Edition):

Garuccio, Anthony. “A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models.” 2016. Web. 17 Feb 2019.

Vancouver:

Garuccio A. A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models. [Internet] [Masters thesis]. Duquesne University; 2016. [cited 2019 Feb 17]. Available from: https://dsc.duq.edu/etd/569.

Council of Science Editors:

Garuccio A. A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models. [Masters Thesis]. Duquesne University; 2016. Available from: https://dsc.duq.edu/etd/569


Duquesne University

9. Jacovino, Julia Maureen. Authorship Attribution Through Words Surrounding Named Entities.

Degree: MS, Computational Mathematics, 2013, Duquesne University

 In text analysis, authorship attribution occurs in a variety of ways. The field of computational linguistics becomes more important as the need of authorship attribution… (more)

Subjects/Keywords: Authorship attribution; JGAAP; Named entity recognition; Quantitative linguistics; Stylometry; Text analysis

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APA (6th Edition):

Jacovino, J. M. (2013). Authorship Attribution Through Words Surrounding Named Entities. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/694

Chicago Manual of Style (16th Edition):

Jacovino, Julia Maureen. “Authorship Attribution Through Words Surrounding Named Entities.” 2013. Masters Thesis, Duquesne University. Accessed February 17, 2019. https://dsc.duq.edu/etd/694.

MLA Handbook (7th Edition):

Jacovino, Julia Maureen. “Authorship Attribution Through Words Surrounding Named Entities.” 2013. Web. 17 Feb 2019.

Vancouver:

Jacovino JM. Authorship Attribution Through Words Surrounding Named Entities. [Internet] [Masters thesis]. Duquesne University; 2013. [cited 2019 Feb 17]. Available from: https://dsc.duq.edu/etd/694.

Council of Science Editors:

Jacovino JM. Authorship Attribution Through Words Surrounding Named Entities. [Masters Thesis]. Duquesne University; 2013. Available from: https://dsc.duq.edu/etd/694


Duquesne University

10. Bilir, Sevcan. A Comparison of Bayesian Regression Models Applied in Knot Theory.

Degree: MS, Computational Mathematics, 2008, Duquesne University

 This thesis explores variations on a Bayesian regression model used to estimate the mean box length of a random knot as a function of the… (more)

Subjects/Keywords: Posterior distribution; prior distribution; mcmc sampling; gibbs sampling; credibility interval

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APA (6th Edition):

Bilir, S. (2008). A Comparison of Bayesian Regression Models Applied in Knot Theory. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/318

Chicago Manual of Style (16th Edition):

Bilir, Sevcan. “A Comparison of Bayesian Regression Models Applied in Knot Theory.” 2008. Masters Thesis, Duquesne University. Accessed February 17, 2019. https://dsc.duq.edu/etd/318.

MLA Handbook (7th Edition):

Bilir, Sevcan. “A Comparison of Bayesian Regression Models Applied in Knot Theory.” 2008. Web. 17 Feb 2019.

Vancouver:

Bilir S. A Comparison of Bayesian Regression Models Applied in Knot Theory. [Internet] [Masters thesis]. Duquesne University; 2008. [cited 2019 Feb 17]. Available from: https://dsc.duq.edu/etd/318.

Council of Science Editors:

Bilir S. A Comparison of Bayesian Regression Models Applied in Knot Theory. [Masters Thesis]. Duquesne University; 2008. Available from: https://dsc.duq.edu/etd/318

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