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Degree: PhD

You searched for subject:(Regularization). Showing records 1 – 30 of 119 total matches.

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University of Alberta

1. Liang, Yi. Study of leptonic systems and loop calculation techniques.

Degree: PhD, Department of Physics, 2014, University of Alberta

 Proper handling of divergent integrals is presented, first with the example of the photon-photon scattering. The classic result of this process was questioned, because the… (more)

Subjects/Keywords: muon decay asymmetry; magnetic moment; dimensional regularization

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APA (6th Edition):

Liang, Y. (2014). Study of leptonic systems and loop calculation techniques. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/3r074v89v

Chicago Manual of Style (16th Edition):

Liang, Yi. “Study of leptonic systems and loop calculation techniques.” 2014. Doctoral Dissertation, University of Alberta. Accessed June 19, 2019. https://era.library.ualberta.ca/files/3r074v89v.

MLA Handbook (7th Edition):

Liang, Yi. “Study of leptonic systems and loop calculation techniques.” 2014. Web. 19 Jun 2019.

Vancouver:

Liang Y. Study of leptonic systems and loop calculation techniques. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2019 Jun 19]. Available from: https://era.library.ualberta.ca/files/3r074v89v.

Council of Science Editors:

Liang Y. Study of leptonic systems and loop calculation techniques. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/3r074v89v

2. DeCamp, Linda. Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting.

Degree: PhD, Mathematics and Statistics, 2017, Georgia State University

  When an emerging outbreak occurs, stable parameter estimation and reliable projections of future incidence cases using limited (early) data can play an important role… (more)

Subjects/Keywords: Inverse Problems; Epidemiology; Regularization; Parameter Estimation; Forecasting

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APA (6th Edition):

DeCamp, L. (2017). Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/45

Chicago Manual of Style (16th Edition):

DeCamp, Linda. “Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting.” 2017. Doctoral Dissertation, Georgia State University. Accessed June 19, 2019. https://scholarworks.gsu.edu/math_diss/45.

MLA Handbook (7th Edition):

DeCamp, Linda. “Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting.” 2017. Web. 19 Jun 2019.

Vancouver:

DeCamp L. Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2019 Jun 19]. Available from: https://scholarworks.gsu.edu/math_diss/45.

Council of Science Editors:

DeCamp L. Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/math_diss/45


Clemson University

3. Cooper, John. Sparsity Regularization in Diffuse Optical Tomography.

Degree: PhD, Mathematical Science, 2012, Clemson University

 The purpose of this dissertation is to improve image reconstruction in Diffuse Optical Tomography (DOT), a high contrast imaging modality that uses a near infrared… (more)

Subjects/Keywords: Optical; Regularization; Sparsity; Tomography; Applied Mathematics

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APA (6th Edition):

Cooper, J. (2012). Sparsity Regularization in Diffuse Optical Tomography. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1000

Chicago Manual of Style (16th Edition):

Cooper, John. “Sparsity Regularization in Diffuse Optical Tomography.” 2012. Doctoral Dissertation, Clemson University. Accessed June 19, 2019. https://tigerprints.clemson.edu/all_dissertations/1000.

MLA Handbook (7th Edition):

Cooper, John. “Sparsity Regularization in Diffuse Optical Tomography.” 2012. Web. 19 Jun 2019.

Vancouver:

Cooper J. Sparsity Regularization in Diffuse Optical Tomography. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2019 Jun 19]. Available from: https://tigerprints.clemson.edu/all_dissertations/1000.

Council of Science Editors:

Cooper J. Sparsity Regularization in Diffuse Optical Tomography. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/1000


University of Bath

4. Panicciari, Tommaso. Multiresolution tomography for the ionosphere.

Degree: PhD, 2016, University of Bath

 The ionosphere is a dynamic and ionized medium. Specification of the ionospheric electron density is important for radio systems operating up to a few GHz.… (more)

Subjects/Keywords: 621.384; ionospheric tomography; Sparse regularization; Wavelets

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APA (6th Edition):

Panicciari, T. (2016). Multiresolution tomography for the ionosphere. (Doctoral Dissertation). University of Bath. Retrieved from https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.698998

Chicago Manual of Style (16th Edition):

Panicciari, Tommaso. “Multiresolution tomography for the ionosphere.” 2016. Doctoral Dissertation, University of Bath. Accessed June 19, 2019. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.698998.

MLA Handbook (7th Edition):

Panicciari, Tommaso. “Multiresolution tomography for the ionosphere.” 2016. Web. 19 Jun 2019.

Vancouver:

Panicciari T. Multiresolution tomography for the ionosphere. [Internet] [Doctoral dissertation]. University of Bath; 2016. [cited 2019 Jun 19]. Available from: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.698998.

Council of Science Editors:

Panicciari T. Multiresolution tomography for the ionosphere. [Doctoral Dissertation]. University of Bath; 2016. Available from: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.698998


Rice University

5. Kosar, Robert. Skewers, the Carnegie Classification, and the Hybrid Bootstrap.

Degree: PhD, Engineering, 2017, Rice University

 Principal component analysis is an important statistical technique for dimension reduction and exploratory data analysis. However, it is not robust to outliers and may obfuscate… (more)

Subjects/Keywords: Clustering; Principal Component Analysis, University Rankings, Regularization

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APA (6th Edition):

Kosar, R. (2017). Skewers, the Carnegie Classification, and the Hybrid Bootstrap. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105553

Chicago Manual of Style (16th Edition):

Kosar, Robert. “Skewers, the Carnegie Classification, and the Hybrid Bootstrap.” 2017. Doctoral Dissertation, Rice University. Accessed June 19, 2019. http://hdl.handle.net/1911/105553.

MLA Handbook (7th Edition):

Kosar, Robert. “Skewers, the Carnegie Classification, and the Hybrid Bootstrap.” 2017. Web. 19 Jun 2019.

Vancouver:

Kosar R. Skewers, the Carnegie Classification, and the Hybrid Bootstrap. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1911/105553.

Council of Science Editors:

Kosar R. Skewers, the Carnegie Classification, and the Hybrid Bootstrap. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/105553


University of Minnesota

6. Orozco Rodr´ıguez, Jos´e Alberto. Regularization methods for inverse problems.

Degree: PhD, Mathematics, 2011, University of Minnesota

 Many applications in industry and science require the solution of an inverse problem. To obtain a stable estimate of the solution of such problems, it… (more)

Subjects/Keywords: Ill-posed problems; Inverse problems; Maximum entropy solution; Multiplicative regularization; Regularization; Stability; Mathematics

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APA (6th Edition):

Orozco Rodr´ıguez, J. A. (2011). Regularization methods for inverse problems. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/104604

Chicago Manual of Style (16th Edition):

Orozco Rodr´ıguez, Jos´e Alberto. “Regularization methods for inverse problems.” 2011. Doctoral Dissertation, University of Minnesota. Accessed June 19, 2019. http://purl.umn.edu/104604.

MLA Handbook (7th Edition):

Orozco Rodr´ıguez, Jos´e Alberto. “Regularization methods for inverse problems.” 2011. Web. 19 Jun 2019.

Vancouver:

Orozco Rodr´ıguez JA. Regularization methods for inverse problems. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2019 Jun 19]. Available from: http://purl.umn.edu/104604.

Council of Science Editors:

Orozco Rodr´ıguez JA. Regularization methods for inverse problems. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/104604

7. Maciel, Anderson Luiz. Bifurcações de campos vetoriais descontínuos.

Degree: PhD, Matemática Aplicada, 2009, University of São Paulo

Seja M um conjunto compacto e conexo do plano que seja a união dos subconjuntos conexos N e S. Seja ZL=(XL,YL) uma família a um… (more)

Subjects/Keywords: bifurcações; bifurcation; campos vetoriais descontínuos; discontinuous vector fields; regularização; regularization

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APA (6th Edition):

Maciel, A. L. (2009). Bifurcações de campos vetoriais descontínuos. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45132/tde-16082009-201102/ ;

Chicago Manual of Style (16th Edition):

Maciel, Anderson Luiz. “Bifurcações de campos vetoriais descontínuos.” 2009. Doctoral Dissertation, University of São Paulo. Accessed June 19, 2019. http://www.teses.usp.br/teses/disponiveis/45/45132/tde-16082009-201102/ ;.

MLA Handbook (7th Edition):

Maciel, Anderson Luiz. “Bifurcações de campos vetoriais descontínuos.” 2009. Web. 19 Jun 2019.

Vancouver:

Maciel AL. Bifurcações de campos vetoriais descontínuos. [Internet] [Doctoral dissertation]. University of São Paulo; 2009. [cited 2019 Jun 19]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45132/tde-16082009-201102/ ;.

Council of Science Editors:

Maciel AL. Bifurcações de campos vetoriais descontínuos. [Doctoral Dissertation]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/45/45132/tde-16082009-201102/ ;


University of Alberta

8. Nabipoor Sanjebad, Majid. Fitting Sparse Hierarchical Models: Applications to Factorial Designs.

Degree: PhD, Department of Mathematical and Statistical Sciences, 2016, University of Alberta

 We study penalized fitting strategies aimed at sparse model selection of models satisfying certain hierarchical restrictions, in linear models arising from factorial experiments. After discussing… (more)

Subjects/Keywords: degrees of freedom; group lasso; regularization; hierarchy; factorial designs

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APA (6th Edition):

Nabipoor Sanjebad, M. (2016). Fitting Sparse Hierarchical Models: Applications to Factorial Designs. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c1z40kt006

Chicago Manual of Style (16th Edition):

Nabipoor Sanjebad, Majid. “Fitting Sparse Hierarchical Models: Applications to Factorial Designs.” 2016. Doctoral Dissertation, University of Alberta. Accessed June 19, 2019. https://era.library.ualberta.ca/files/c1z40kt006.

MLA Handbook (7th Edition):

Nabipoor Sanjebad, Majid. “Fitting Sparse Hierarchical Models: Applications to Factorial Designs.” 2016. Web. 19 Jun 2019.

Vancouver:

Nabipoor Sanjebad M. Fitting Sparse Hierarchical Models: Applications to Factorial Designs. [Internet] [Doctoral dissertation]. University of Alberta; 2016. [cited 2019 Jun 19]. Available from: https://era.library.ualberta.ca/files/c1z40kt006.

Council of Science Editors:

Nabipoor Sanjebad M. Fitting Sparse Hierarchical Models: Applications to Factorial Designs. [Doctoral Dissertation]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/c1z40kt006

9. Vitor Moreira da Rocha Ponte. Modelo Simplificado de SimulaÃÃo de ReservatÃrios. RegressÃes dos Volumes Evaporado, Vertido e Regularizado.

Degree: PhD, 2008, Universidade Federal do Ceará

O presente trabalho tem por objetivo identificar equaÃÃes simplificadas que permitam determinar o comportamento de reservatÃrios a partir de um reduzido nÃmero de parÃmetros. SÃo… (more)

Subjects/Keywords: RECURSOS HIDRICOS; SimulaÃÃo; ReservatÃrios; RegularizaÃÃo; Simulation; Reservoir Model; regularization; RegiÃes Ãridas

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APA (6th Edition):

Ponte, V. M. d. R. (2008). Modelo Simplificado de SimulaÃÃo de ReservatÃrios. RegressÃes dos Volumes Evaporado, Vertido e Regularizado. (Doctoral Dissertation). Universidade Federal do Ceará. Retrieved from http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2201 ;

Chicago Manual of Style (16th Edition):

Ponte, Vitor Moreira da Rocha. “Modelo Simplificado de SimulaÃÃo de ReservatÃrios. RegressÃes dos Volumes Evaporado, Vertido e Regularizado.” 2008. Doctoral Dissertation, Universidade Federal do Ceará. Accessed June 19, 2019. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2201 ;.

MLA Handbook (7th Edition):

Ponte, Vitor Moreira da Rocha. “Modelo Simplificado de SimulaÃÃo de ReservatÃrios. RegressÃes dos Volumes Evaporado, Vertido e Regularizado.” 2008. Web. 19 Jun 2019.

Vancouver:

Ponte VMdR. Modelo Simplificado de SimulaÃÃo de ReservatÃrios. RegressÃes dos Volumes Evaporado, Vertido e Regularizado. [Internet] [Doctoral dissertation]. Universidade Federal do Ceará 2008. [cited 2019 Jun 19]. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2201 ;.

Council of Science Editors:

Ponte VMdR. Modelo Simplificado de SimulaÃÃo de ReservatÃrios. RegressÃes dos Volumes Evaporado, Vertido e Regularizado. [Doctoral Dissertation]. Universidade Federal do Ceará 2008. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2201 ;


University of Louisville

10. Hapuarachchi, Sujeewa Indika. Regularized solutions for terminal problems of parabolic equations.

Degree: PhD, 2017, University of Louisville

  The heat equation with a terminal condition problem is not well-posed in the sense of Hadamard so regularization is needed. In general, partial differential… (more)

Subjects/Keywords: partial differential equation; sobolev space; regularization; Partial Differential Equations

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APA (6th Edition):

Hapuarachchi, S. I. (2017). Regularized solutions for terminal problems of parabolic equations. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2776 ; https://ir.library.louisville.edu/etd/2776

Chicago Manual of Style (16th Edition):

Hapuarachchi, Sujeewa Indika. “Regularized solutions for terminal problems of parabolic equations.” 2017. Doctoral Dissertation, University of Louisville. Accessed June 19, 2019. 10.18297/etd/2776 ; https://ir.library.louisville.edu/etd/2776.

MLA Handbook (7th Edition):

Hapuarachchi, Sujeewa Indika. “Regularized solutions for terminal problems of parabolic equations.” 2017. Web. 19 Jun 2019.

Vancouver:

Hapuarachchi SI. Regularized solutions for terminal problems of parabolic equations. [Internet] [Doctoral dissertation]. University of Louisville; 2017. [cited 2019 Jun 19]. Available from: 10.18297/etd/2776 ; https://ir.library.louisville.edu/etd/2776.

Council of Science Editors:

Hapuarachchi SI. Regularized solutions for terminal problems of parabolic equations. [Doctoral Dissertation]. University of Louisville; 2017. Available from: 10.18297/etd/2776 ; https://ir.library.louisville.edu/etd/2776


University of Louisville

11. Mahdi, Rami Nezar, 1982-. Reduced hyperBF networks : practical optimization, regularization, and applications in bioinformatics.

Degree: PhD, 2010, University of Louisville

 A hyper basis function network (HyperBF) is a generalized radial basis function network (RBF) where the activation function is a radial function of a weighted… (more)

Subjects/Keywords: Hyper basis function network; Regularization; Transcription start sites

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APA (6th Edition):

Mahdi, Rami Nezar, 1. (2010). Reduced hyperBF networks : practical optimization, regularization, and applications in bioinformatics. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/887 ; https://ir.library.louisville.edu/etd/887

Chicago Manual of Style (16th Edition):

Mahdi, Rami Nezar, 1982-. “Reduced hyperBF networks : practical optimization, regularization, and applications in bioinformatics.” 2010. Doctoral Dissertation, University of Louisville. Accessed June 19, 2019. 10.18297/etd/887 ; https://ir.library.louisville.edu/etd/887.

MLA Handbook (7th Edition):

Mahdi, Rami Nezar, 1982-. “Reduced hyperBF networks : practical optimization, regularization, and applications in bioinformatics.” 2010. Web. 19 Jun 2019.

Vancouver:

Mahdi, Rami Nezar 1. Reduced hyperBF networks : practical optimization, regularization, and applications in bioinformatics. [Internet] [Doctoral dissertation]. University of Louisville; 2010. [cited 2019 Jun 19]. Available from: 10.18297/etd/887 ; https://ir.library.louisville.edu/etd/887.

Council of Science Editors:

Mahdi, Rami Nezar 1. Reduced hyperBF networks : practical optimization, regularization, and applications in bioinformatics. [Doctoral Dissertation]. University of Louisville; 2010. Available from: 10.18297/etd/887 ; https://ir.library.louisville.edu/etd/887


Arizona State University

12. Chen, Jianhui. Multi-Task Learning via Structured Regularization: Formulations, Algorithms, and Applications.

Degree: PhD, Computer Science, 2011, Arizona State University

 Multi-task learning (MTL) aims to improve the generalization performance (of the resulting classifiers) by learning multiple related tasks simultaneously. Specifically, MTL exploits the intrinsic task… (more)

Subjects/Keywords: Computer Science; Machine Learning; Multi-Task Learning; Structured Regularization

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APA (6th Edition):

Chen, J. (2011). Multi-Task Learning via Structured Regularization: Formulations, Algorithms, and Applications. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/9391

Chicago Manual of Style (16th Edition):

Chen, Jianhui. “Multi-Task Learning via Structured Regularization: Formulations, Algorithms, and Applications.” 2011. Doctoral Dissertation, Arizona State University. Accessed June 19, 2019. http://repository.asu.edu/items/9391.

MLA Handbook (7th Edition):

Chen, Jianhui. “Multi-Task Learning via Structured Regularization: Formulations, Algorithms, and Applications.” 2011. Web. 19 Jun 2019.

Vancouver:

Chen J. Multi-Task Learning via Structured Regularization: Formulations, Algorithms, and Applications. [Internet] [Doctoral dissertation]. Arizona State University; 2011. [cited 2019 Jun 19]. Available from: http://repository.asu.edu/items/9391.

Council of Science Editors:

Chen J. Multi-Task Learning via Structured Regularization: Formulations, Algorithms, and Applications. [Doctoral Dissertation]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/9391


Wayne State University

13. Li, Yan. Novel Regression Models For High-Dimensional Survival Analysis.

Degree: PhD, Computer Science, 2016, Wayne State University

  Survival analysis aims to predict the occurrence of specific events of interest at future time points. The presence of incomplete observations due to censoring… (more)

Subjects/Keywords: High-dimensional data; Regularization; sparsity; Survival Analysis; Computer Sciences

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APA (6th Edition):

Li, Y. (2016). Novel Regression Models For High-Dimensional Survival Analysis. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1555

Chicago Manual of Style (16th Edition):

Li, Yan. “Novel Regression Models For High-Dimensional Survival Analysis.” 2016. Doctoral Dissertation, Wayne State University. Accessed June 19, 2019. https://digitalcommons.wayne.edu/oa_dissertations/1555.

MLA Handbook (7th Edition):

Li, Yan. “Novel Regression Models For High-Dimensional Survival Analysis.” 2016. Web. 19 Jun 2019.

Vancouver:

Li Y. Novel Regression Models For High-Dimensional Survival Analysis. [Internet] [Doctoral dissertation]. Wayne State University; 2016. [cited 2019 Jun 19]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1555.

Council of Science Editors:

Li Y. Novel Regression Models For High-Dimensional Survival Analysis. [Doctoral Dissertation]. Wayne State University; 2016. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1555


University of Florida

14. Pi, Jiaxing. Optimization and Data Analysis in Biomedicine.

Degree: PhD, Industrial and Systems Engineering, 2016, University of Florida

Subjects/Keywords: biomedicine; classification; clustering; dimensionality; regularization

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APA (6th Edition):

Pi, J. (2016). Optimization and Data Analysis in Biomedicine. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050344

Chicago Manual of Style (16th Edition):

Pi, Jiaxing. “Optimization and Data Analysis in Biomedicine.” 2016. Doctoral Dissertation, University of Florida. Accessed June 19, 2019. http://ufdc.ufl.edu/UFE0050344.

MLA Handbook (7th Edition):

Pi, Jiaxing. “Optimization and Data Analysis in Biomedicine.” 2016. Web. 19 Jun 2019.

Vancouver:

Pi J. Optimization and Data Analysis in Biomedicine. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Jun 19]. Available from: http://ufdc.ufl.edu/UFE0050344.

Council of Science Editors:

Pi J. Optimization and Data Analysis in Biomedicine. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050344


University of Wollongong

15. Zheng, Haoheng. Learning-based super-resolution with applications to intensity and depth images.

Degree: PhD, 2014, University of Wollongong

  Resolution is an important attribute for evaluating the quality of an image. In most applications, it is desirable to have high-resolution images rather than… (more)

Subjects/Keywords: image processing; super-resolution; sparse representation; joint regularization

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APA (6th Edition):

Zheng, H. (2014). Learning-based super-resolution with applications to intensity and depth images. (Doctoral Dissertation). University of Wollongong. Retrieved from 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4284

Chicago Manual of Style (16th Edition):

Zheng, Haoheng. “Learning-based super-resolution with applications to intensity and depth images.” 2014. Doctoral Dissertation, University of Wollongong. Accessed June 19, 2019. 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4284.

MLA Handbook (7th Edition):

Zheng, Haoheng. “Learning-based super-resolution with applications to intensity and depth images.” 2014. Web. 19 Jun 2019.

Vancouver:

Zheng H. Learning-based super-resolution with applications to intensity and depth images. [Internet] [Doctoral dissertation]. University of Wollongong; 2014. [cited 2019 Jun 19]. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4284.

Council of Science Editors:

Zheng H. Learning-based super-resolution with applications to intensity and depth images. [Doctoral Dissertation]. University of Wollongong; 2014. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4284


Georgia Tech

16. Gao, Rui. Distributionally robust stochastic optimization with applications in statistical learning.

Degree: PhD, Industrial and Systems Engineering, 2018, Georgia Tech

 In this thesis, we study distributionally robust stochastic optimization (DRSO), a recent emerging framework for solving decision-making under uncertainty. In this framework, instead of assuming… (more)

Subjects/Keywords: Distributionally robust optimization; Wasserstein distance; Optimal transport; Regularization; Copula

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APA (6th Edition):

Gao, R. (2018). Distributionally robust stochastic optimization with applications in statistical learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59834

Chicago Manual of Style (16th Edition):

Gao, Rui. “Distributionally robust stochastic optimization with applications in statistical learning.” 2018. Doctoral Dissertation, Georgia Tech. Accessed June 19, 2019. http://hdl.handle.net/1853/59834.

MLA Handbook (7th Edition):

Gao, Rui. “Distributionally robust stochastic optimization with applications in statistical learning.” 2018. Web. 19 Jun 2019.

Vancouver:

Gao R. Distributionally robust stochastic optimization with applications in statistical learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1853/59834.

Council of Science Editors:

Gao R. Distributionally robust stochastic optimization with applications in statistical learning. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59834


University of Minnesota

17. Chatterjee, Soumyadeep. High Dimensional Statistical Models: Applications to Climate.

Degree: PhD, Computer Science, 2015, University of Minnesota

 Recent years have seen enormous growth in collection and curation of datasets in various domains which often involve thousands or even millions of variables. Examples… (more)

Subjects/Keywords: Climate Science; Machine Learning; Regression; Regularization; Statistical Modeling

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APA (6th Edition):

Chatterjee, S. (2015). High Dimensional Statistical Models: Applications to Climate. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175549

Chicago Manual of Style (16th Edition):

Chatterjee, Soumyadeep. “High Dimensional Statistical Models: Applications to Climate.” 2015. Doctoral Dissertation, University of Minnesota. Accessed June 19, 2019. http://hdl.handle.net/11299/175549.

MLA Handbook (7th Edition):

Chatterjee, Soumyadeep. “High Dimensional Statistical Models: Applications to Climate.” 2015. Web. 19 Jun 2019.

Vancouver:

Chatterjee S. High Dimensional Statistical Models: Applications to Climate. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/11299/175549.

Council of Science Editors:

Chatterjee S. High Dimensional Statistical Models: Applications to Climate. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175549


University of Minnesota

18. Ebtehaj, Mohammad. Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation.

Degree: PhD, Civil Engineering, 2013, University of Minnesota

 The past decades have witnessed a remarkable emergence of new spaceborne and ground-based sources of multiscale remotely sensed geophysical data. Apart from applications related to… (more)

Subjects/Keywords: Inverse problem; Precipitation; Remote sensing; Sparse regularization; Sparse representation; Wavelet

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APA (6th Edition):

Ebtehaj, M. (2013). Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/159708

Chicago Manual of Style (16th Edition):

Ebtehaj, Mohammad. “Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation.” 2013. Doctoral Dissertation, University of Minnesota. Accessed June 19, 2019. http://purl.umn.edu/159708.

MLA Handbook (7th Edition):

Ebtehaj, Mohammad. “Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation.” 2013. Web. 19 Jun 2019.

Vancouver:

Ebtehaj M. Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2019 Jun 19]. Available from: http://purl.umn.edu/159708.

Council of Science Editors:

Ebtehaj M. Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://purl.umn.edu/159708


University of Rochester

19. Ruskin, David. Cognitive influences on the evolution of new languages.

Degree: PhD, 2014, University of Rochester

 As new languages – pidgins and creoles – develop, they start off highly variable, but quickly become more stable and regular. Historical evidence suggests that these languages… (more)

Subjects/Keywords: Creolization; Historical linguistics; Language change; Probability matching; Regularization; Variation

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APA (6th Edition):

Ruskin, D. (2014). Cognitive influences on the evolution of new languages. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/28511

Chicago Manual of Style (16th Edition):

Ruskin, David. “Cognitive influences on the evolution of new languages.” 2014. Doctoral Dissertation, University of Rochester. Accessed June 19, 2019. http://hdl.handle.net/1802/28511.

MLA Handbook (7th Edition):

Ruskin, David. “Cognitive influences on the evolution of new languages.” 2014. Web. 19 Jun 2019.

Vancouver:

Ruskin D. Cognitive influences on the evolution of new languages. [Internet] [Doctoral dissertation]. University of Rochester; 2014. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1802/28511.

Council of Science Editors:

Ruskin D. Cognitive influences on the evolution of new languages. [Doctoral Dissertation]. University of Rochester; 2014. Available from: http://hdl.handle.net/1802/28511


University of Georgia

20. Hilafu, Haileab. On dimension reduction and feature selection in high dimensions.

Degree: PhD, Statistics, 2014, University of Georgia

 Suffi cient Dimension Reduction (SDR) is a dimension reduction paradigm for reducing the dimension of the predictor vector without losing regression information. Classical inverse regression… (more)

Subjects/Keywords: Dimension Reduction Subspace; Feature Selection; Central Subspace; High Dimensional Data; Partial Least Squares; Regularization.

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APA (6th Edition):

Hilafu, H. (2014). On dimension reduction and feature selection in high dimensions. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/hilafu_haileab_201405_phd

Chicago Manual of Style (16th Edition):

Hilafu, Haileab. “On dimension reduction and feature selection in high dimensions.” 2014. Doctoral Dissertation, University of Georgia. Accessed June 19, 2019. http://purl.galileo.usg.edu/uga_etd/hilafu_haileab_201405_phd.

MLA Handbook (7th Edition):

Hilafu, Haileab. “On dimension reduction and feature selection in high dimensions.” 2014. Web. 19 Jun 2019.

Vancouver:

Hilafu H. On dimension reduction and feature selection in high dimensions. [Internet] [Doctoral dissertation]. University of Georgia; 2014. [cited 2019 Jun 19]. Available from: http://purl.galileo.usg.edu/uga_etd/hilafu_haileab_201405_phd.

Council of Science Editors:

Hilafu H. On dimension reduction and feature selection in high dimensions. [Doctoral Dissertation]. University of Georgia; 2014. Available from: http://purl.galileo.usg.edu/uga_etd/hilafu_haileab_201405_phd


University of Wollongong

21. Nawaz, Muhammad Wasim. Sparse variational regularization for visual motion estimation.

Degree: PhD, 2016, University of Wollongong

  The computation of visual motion is a key component in numerous computer vision tasks such as object detection, visual object tracking and activity recognition.… (more)

Subjects/Keywords: Variational regularization; motion estimation; optical flow; occlusion detection; signal sparsity; image restoration

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APA (6th Edition):

Nawaz, M. W. (2016). Sparse variational regularization for visual motion estimation. (Doctoral Dissertation). University of Wollongong. Retrieved from 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4641

Chicago Manual of Style (16th Edition):

Nawaz, Muhammad Wasim. “Sparse variational regularization for visual motion estimation.” 2016. Doctoral Dissertation, University of Wollongong. Accessed June 19, 2019. 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4641.

MLA Handbook (7th Edition):

Nawaz, Muhammad Wasim. “Sparse variational regularization for visual motion estimation.” 2016. Web. 19 Jun 2019.

Vancouver:

Nawaz MW. Sparse variational regularization for visual motion estimation. [Internet] [Doctoral dissertation]. University of Wollongong; 2016. [cited 2019 Jun 19]. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4641.

Council of Science Editors:

Nawaz MW. Sparse variational regularization for visual motion estimation. [Doctoral Dissertation]. University of Wollongong; 2016. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4641

22. Silva, Eliane Alves da. Governar o ingovernável: gestão da irregularidade urbana em áreas de mananciais em São Paulo.

Degree: PhD, Sociologia, 2011, University of São Paulo

Esta pesquisa propõe a análise das práticas políticas que se conformam em torno da problemática que relaciona habitação irregular precária e preservação dos recursos hídricos… (more)

Subjects/Keywords: Grajaú; Grajaú; Habitação irregular; Irregular housing; Mananciais; Regularização; Regularization; Remoção; Removal; Watershed areas

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APA (6th Edition):

Silva, E. A. d. (2011). Governar o ingovernável: gestão da irregularidade urbana em áreas de mananciais em São Paulo. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/8/8132/tde-07112012-092001/ ;

Chicago Manual of Style (16th Edition):

Silva, Eliane Alves da. “Governar o ingovernável: gestão da irregularidade urbana em áreas de mananciais em São Paulo.” 2011. Doctoral Dissertation, University of São Paulo. Accessed June 19, 2019. http://www.teses.usp.br/teses/disponiveis/8/8132/tde-07112012-092001/ ;.

MLA Handbook (7th Edition):

Silva, Eliane Alves da. “Governar o ingovernável: gestão da irregularidade urbana em áreas de mananciais em São Paulo.” 2011. Web. 19 Jun 2019.

Vancouver:

Silva EAd. Governar o ingovernável: gestão da irregularidade urbana em áreas de mananciais em São Paulo. [Internet] [Doctoral dissertation]. University of São Paulo; 2011. [cited 2019 Jun 19]. Available from: http://www.teses.usp.br/teses/disponiveis/8/8132/tde-07112012-092001/ ;.

Council of Science Editors:

Silva EAd. Governar o ingovernável: gestão da irregularidade urbana em áreas de mananciais em São Paulo. [Doctoral Dissertation]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/8/8132/tde-07112012-092001/ ;


University of Colorado

23. Villavert, John. The Analysis of Some Nonlinear Partial Differential Equations.

Degree: PhD, Applied Mathematics, 2013, University of Colorado

  The underlying theme of this dissertation centers on the development of novel mathematical tools used in the analysis of some important types of nonlinear… (more)

Subjects/Keywords: inviscid regularization; shooting method; spatial averaging; Topological degree theory; Applied Mathematics; Mathematics; Other Mathematics

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APA (6th Edition):

Villavert, J. (2013). The Analysis of Some Nonlinear Partial Differential Equations. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/appm_gradetds/33

Chicago Manual of Style (16th Edition):

Villavert, John. “The Analysis of Some Nonlinear Partial Differential Equations.” 2013. Doctoral Dissertation, University of Colorado. Accessed June 19, 2019. http://scholar.colorado.edu/appm_gradetds/33.

MLA Handbook (7th Edition):

Villavert, John. “The Analysis of Some Nonlinear Partial Differential Equations.” 2013. Web. 19 Jun 2019.

Vancouver:

Villavert J. The Analysis of Some Nonlinear Partial Differential Equations. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2019 Jun 19]. Available from: http://scholar.colorado.edu/appm_gradetds/33.

Council of Science Editors:

Villavert J. The Analysis of Some Nonlinear Partial Differential Equations. [Doctoral Dissertation]. University of Colorado; 2013. Available from: http://scholar.colorado.edu/appm_gradetds/33


Universidade do Estado do Rio de Janeiro

24. Daniel Queiroz Pereira. A efetividade do usucapião especial coletivo fundada da posse-trabalho sob a perspectiva filosófica da igualdade como reconhecimento.

Degree: PhD, 2013, Universidade do Estado do Rio de Janeiro

O presente trabalho versa sobre o usucapião especial coletivo, uma vez que o mesmo revela-se como um dos instrumentos jurídicos escolhidos pelo legislador para promover… (more)

Subjects/Keywords: Usucapião; Regularização fundiária; Direito à moradia; Usucaption; Shelter regularization; Right to shelter; DIREITO CIVIL

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APA (6th Edition):

Pereira, D. Q. (2013). A efetividade do usucapião especial coletivo fundada da posse-trabalho sob a perspectiva filosófica da igualdade como reconhecimento. (Doctoral Dissertation). Universidade do Estado do Rio de Janeiro. Retrieved from http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5051 ; http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5052 ;

Chicago Manual of Style (16th Edition):

Pereira, Daniel Queiroz. “A efetividade do usucapião especial coletivo fundada da posse-trabalho sob a perspectiva filosófica da igualdade como reconhecimento.” 2013. Doctoral Dissertation, Universidade do Estado do Rio de Janeiro. Accessed June 19, 2019. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5051 ; http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5052 ;.

MLA Handbook (7th Edition):

Pereira, Daniel Queiroz. “A efetividade do usucapião especial coletivo fundada da posse-trabalho sob a perspectiva filosófica da igualdade como reconhecimento.” 2013. Web. 19 Jun 2019.

Vancouver:

Pereira DQ. A efetividade do usucapião especial coletivo fundada da posse-trabalho sob a perspectiva filosófica da igualdade como reconhecimento. [Internet] [Doctoral dissertation]. Universidade do Estado do Rio de Janeiro; 2013. [cited 2019 Jun 19]. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5051 ; http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5052 ;.

Council of Science Editors:

Pereira DQ. A efetividade do usucapião especial coletivo fundada da posse-trabalho sob a perspectiva filosófica da igualdade como reconhecimento. [Doctoral Dissertation]. Universidade do Estado do Rio de Janeiro; 2013. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5051 ; http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5052 ;


Georgia Tech

25. Liu, Xuyuan. Statistical validation and calibration of computer models.

Degree: PhD, Industrial and Systems Engineering, 2011, Georgia Tech

 This thesis deals with modeling, validation and calibration problems in experiments of computer models. Computer models are mathematic representations of real systems developed for understanding… (more)

Subjects/Keywords: Functional data; NLME; Regularization; Variable selection; Kriging; Gaussian processes; Regression analysis; Computer simulation; Simulation methods

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APA (6th Edition):

Liu, X. (2011). Statistical validation and calibration of computer models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39478

Chicago Manual of Style (16th Edition):

Liu, Xuyuan. “Statistical validation and calibration of computer models.” 2011. Doctoral Dissertation, Georgia Tech. Accessed June 19, 2019. http://hdl.handle.net/1853/39478.

MLA Handbook (7th Edition):

Liu, Xuyuan. “Statistical validation and calibration of computer models.” 2011. Web. 19 Jun 2019.

Vancouver:

Liu X. Statistical validation and calibration of computer models. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1853/39478.

Council of Science Editors:

Liu X. Statistical validation and calibration of computer models. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39478


Georgia Tech

26. Zachariah, Nishant. Prospective and retrospective retooling of magnetic resonance imaging.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 At its heart, signal processing can be broken down into two broad categories based on a single core principle: attaining a signal based objective (higher… (more)

Subjects/Keywords: Harmonic analysis; Signal processing; Magnetic resonance imaging; Non convex regularization; Acceleration imaging; Inverse problems

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APA (6th Edition):

Zachariah, N. (2017). Prospective and retrospective retooling of magnetic resonance imaging. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60111

Chicago Manual of Style (16th Edition):

Zachariah, Nishant. “Prospective and retrospective retooling of magnetic resonance imaging.” 2017. Doctoral Dissertation, Georgia Tech. Accessed June 19, 2019. http://hdl.handle.net/1853/60111.

MLA Handbook (7th Edition):

Zachariah, Nishant. “Prospective and retrospective retooling of magnetic resonance imaging.” 2017. Web. 19 Jun 2019.

Vancouver:

Zachariah N. Prospective and retrospective retooling of magnetic resonance imaging. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1853/60111.

Council of Science Editors:

Zachariah N. Prospective and retrospective retooling of magnetic resonance imaging. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60111


University of Washington

27. Lin, Lina. Methods for estimation and inference for high-dimensional models.

Degree: PhD, 2018, University of Washington

 This thesis tackles three different problems in high-dimensional statistics. The first two parts of the thesis focus on estimation of sparse high-dimensional undirected graphical models… (more)

Subjects/Keywords: Graphical models; High-dimensional statistics; Linear mixed effect models; Regularization; Statistics; Statistics

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APA (6th Edition):

Lin, L. (2018). Methods for estimation and inference for high-dimensional models. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40975

Chicago Manual of Style (16th Edition):

Lin, Lina. “Methods for estimation and inference for high-dimensional models.” 2018. Doctoral Dissertation, University of Washington. Accessed June 19, 2019. http://hdl.handle.net/1773/40975.

MLA Handbook (7th Edition):

Lin, Lina. “Methods for estimation and inference for high-dimensional models.” 2018. Web. 19 Jun 2019.

Vancouver:

Lin L. Methods for estimation and inference for high-dimensional models. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1773/40975.

Council of Science Editors:

Lin L. Methods for estimation and inference for high-dimensional models. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/40975


University of Washington

28. Edwards, Thomas Howard. New Statistical Inference Methods for DEER Spectroscopy on Proteins.

Degree: PhD, 2018, University of Washington

 Double Electron-Electron Resonance (DEER) spectroscopy is a pulse-EPR experiment that can provide sub-ångström resolution distance measurements of proteins and other biomacro- molecules in the distance… (more)

Subjects/Keywords: Bayesian Statistics; DEER; EPR; MCMC; Protein; Tikhonov Regularization; Biophysics; Physical chemistry; Chemistry

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APA (6th Edition):

Edwards, T. H. (2018). New Statistical Inference Methods for DEER Spectroscopy on Proteins. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43000

Chicago Manual of Style (16th Edition):

Edwards, Thomas Howard. “New Statistical Inference Methods for DEER Spectroscopy on Proteins.” 2018. Doctoral Dissertation, University of Washington. Accessed June 19, 2019. http://hdl.handle.net/1773/43000.

MLA Handbook (7th Edition):

Edwards, Thomas Howard. “New Statistical Inference Methods for DEER Spectroscopy on Proteins.” 2018. Web. 19 Jun 2019.

Vancouver:

Edwards TH. New Statistical Inference Methods for DEER Spectroscopy on Proteins. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1773/43000.

Council of Science Editors:

Edwards TH. New Statistical Inference Methods for DEER Spectroscopy on Proteins. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/43000


Boston University

29. Bai, Qinxun. The differential geometric structure in supervised learning of classifiers.

Degree: PhD, Computer Science, 2017, Boston University

 In this thesis, we study the overfitting problem in supervised learning of classifiers from a geometric perspective. As with many inverse problems, learning a classification… (more)

Subjects/Keywords: Computer science; Classification; Class probability; Mean curvature flow; Regularization; Supervised learning; Volume

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APA (6th Edition):

Bai, Q. (2017). The differential geometric structure in supervised learning of classifiers. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/22449

Chicago Manual of Style (16th Edition):

Bai, Qinxun. “The differential geometric structure in supervised learning of classifiers.” 2017. Doctoral Dissertation, Boston University. Accessed June 19, 2019. http://hdl.handle.net/2144/22449.

MLA Handbook (7th Edition):

Bai, Qinxun. “The differential geometric structure in supervised learning of classifiers.” 2017. Web. 19 Jun 2019.

Vancouver:

Bai Q. The differential geometric structure in supervised learning of classifiers. [Internet] [Doctoral dissertation]. Boston University; 2017. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/2144/22449.

Council of Science Editors:

Bai Q. The differential geometric structure in supervised learning of classifiers. [Doctoral Dissertation]. Boston University; 2017. Available from: http://hdl.handle.net/2144/22449

30. Hoang, Nguyen Si. Numerical solutions to some ill-posed problems.

Degree: PhD, Department of Mathematics, 2011, Kansas State University

 Several methods for a stable solution to the equation F(u)=f have been developed. Here F:H →  H is an operator in a Hilbert space H, and… (more)

Subjects/Keywords: Ill-posed problems; Dynamical Systems Method; Regularization; Discrepancy Principle; Monotone operators; Mathematics (0405)

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APA (6th Edition):

Hoang, N. S. (2011). Numerical solutions to some ill-posed problems. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/9204

Chicago Manual of Style (16th Edition):

Hoang, Nguyen Si. “Numerical solutions to some ill-posed problems.” 2011. Doctoral Dissertation, Kansas State University. Accessed June 19, 2019. http://hdl.handle.net/2097/9204.

MLA Handbook (7th Edition):

Hoang, Nguyen Si. “Numerical solutions to some ill-posed problems.” 2011. Web. 19 Jun 2019.

Vancouver:

Hoang NS. Numerical solutions to some ill-posed problems. [Internet] [Doctoral dissertation]. Kansas State University; 2011. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/2097/9204.

Council of Science Editors:

Hoang NS. Numerical solutions to some ill-posed problems. [Doctoral Dissertation]. Kansas State University; 2011. Available from: http://hdl.handle.net/2097/9204

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