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

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University of Alberta

1. Fedoruk, John P. Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements.

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

 In an increasingly data-driven society, there is a growing need to simplify high-dimensional data sets. Over the course of the past three decades, the Johnson… (more)

Subjects/Keywords: Dimensionality Reduction; High Dimensional Data; Johnson Lindenstrauss

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APA (6th Edition):

Fedoruk, J. P. (2016). Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cm039k5065

Chicago Manual of Style (16th Edition):

Fedoruk, John P. “Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements.” 2016. Masters Thesis, University of Alberta. Accessed August 17, 2018. https://era.library.ualberta.ca/files/cm039k5065.

MLA Handbook (7th Edition):

Fedoruk, John P. “Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements.” 2016. Web. 17 Aug 2018.

Vancouver:

Fedoruk JP. Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2018 Aug 17]. Available from: https://era.library.ualberta.ca/files/cm039k5065.

Council of Science Editors:

Fedoruk JP. Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cm039k5065


Texas A&M University

2. Wang, Xiao. Dynamic Orthogonal Subseries for High-Dimensional and Nonstationary Time Series.

Degree: 2017, Texas A&M University

 A multivariate time series could be partitioned either horizontally (over time) to induce local stationarity or vertically (over the variables) to reduce dimension and the… (more)

Subjects/Keywords: DOC; TS-PCA; High-dimensionality; Nonstationarity

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APA (6th Edition):

Wang, X. (2017). Dynamic Orthogonal Subseries for High-Dimensional and Nonstationary Time Series. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161367

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Xiao. “Dynamic Orthogonal Subseries for High-Dimensional and Nonstationary Time Series.” 2017. Thesis, Texas A&M University. Accessed August 17, 2018. http://hdl.handle.net/1969.1/161367.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Xiao. “Dynamic Orthogonal Subseries for High-Dimensional and Nonstationary Time Series.” 2017. Web. 17 Aug 2018.

Vancouver:

Wang X. Dynamic Orthogonal Subseries for High-Dimensional and Nonstationary Time Series. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2018 Aug 17]. Available from: http://hdl.handle.net/1969.1/161367.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang X. Dynamic Orthogonal Subseries for High-Dimensional and Nonstationary Time Series. [Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161367

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Humboldt University of Berlin

3. Pimenova, Irina. Semi-parametric estimation of elliptical distribution in case of high dimensionality.

Degree: 2012, Humboldt University of Berlin

 This paper is devoted to the problem of high dimensionality in finance. We consider a joint multivariate density estimator of elliptical distribution which relies on… (more)

Subjects/Keywords: Wirtschaft; covariance matrix; high dimensionality; factor models; elliptical distributions; ddc:330

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APA (6th Edition):

Pimenova, I. (2012). Semi-parametric estimation of elliptical distribution in case of high dimensionality. (Masters Thesis). Humboldt University of Berlin. Retrieved from http://edoc.hu-berlin.de/docviews/abstract.php?id=39706 ; http://edoc.hu-berlin.de/master/pimenova-irina-2012-11-06/PDF/pimenova.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100205587

Chicago Manual of Style (16th Edition):

Pimenova, Irina. “Semi-parametric estimation of elliptical distribution in case of high dimensionality.” 2012. Masters Thesis, Humboldt University of Berlin. Accessed August 17, 2018. http://edoc.hu-berlin.de/docviews/abstract.php?id=39706 ; http://edoc.hu-berlin.de/master/pimenova-irina-2012-11-06/PDF/pimenova.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100205587.

MLA Handbook (7th Edition):

Pimenova, Irina. “Semi-parametric estimation of elliptical distribution in case of high dimensionality.” 2012. Web. 17 Aug 2018.

Vancouver:

Pimenova I. Semi-parametric estimation of elliptical distribution in case of high dimensionality. [Internet] [Masters thesis]. Humboldt University of Berlin; 2012. [cited 2018 Aug 17]. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=39706 ; http://edoc.hu-berlin.de/master/pimenova-irina-2012-11-06/PDF/pimenova.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100205587.

Council of Science Editors:

Pimenova I. Semi-parametric estimation of elliptical distribution in case of high dimensionality. [Masters Thesis]. Humboldt University of Berlin; 2012. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=39706 ; http://edoc.hu-berlin.de/master/pimenova-irina-2012-11-06/PDF/pimenova.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100205587


Penn State University

4. Qiao, Mu. Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means.

Degree: 2017, Penn State University

 We develop a new method for high dimensional data visualization via the Gaussian mixture model (GMM) with the component means constrained in a pre-selected subspace.… (more)

Subjects/Keywords: visualization; high dimensionality; dimension reduction; subspace; Gaussian mixture model

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APA (6th Edition):

Qiao, M. (2017). Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/14721muq103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Qiao, Mu. “Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means.” 2017. Thesis, Penn State University. Accessed August 17, 2018. https://etda.libraries.psu.edu/catalog/14721muq103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Qiao, Mu. “Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means.” 2017. Web. 17 Aug 2018.

Vancouver:

Qiao M. Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means. [Internet] [Thesis]. Penn State University; 2017. [cited 2018 Aug 17]. Available from: https://etda.libraries.psu.edu/catalog/14721muq103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qiao M. Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means. [Thesis]. Penn State University; 2017. Available from: https://etda.libraries.psu.edu/catalog/14721muq103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Toronto

5. Li, Matthew T.C. The Anchored Separated Representation for High Dimensional Problems.

Degree: 2015, University of Toronto

Although topics in science and engineering that involve dimensions beyond x-y-z appear obscure, in truth numerous examples abound. For instance, uncertainty quantification requires approximating and… (more)

Subjects/Keywords: Curse of Dimensionality; Function Decomposition; High Dimensional Problems; Sparse Approximation; 0538

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APA (6th Edition):

Li, M. T. C. (2015). The Anchored Separated Representation for High Dimensional Problems. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70437

Chicago Manual of Style (16th Edition):

Li, Matthew T C. “The Anchored Separated Representation for High Dimensional Problems.” 2015. Masters Thesis, University of Toronto. Accessed August 17, 2018. http://hdl.handle.net/1807/70437.

MLA Handbook (7th Edition):

Li, Matthew T C. “The Anchored Separated Representation for High Dimensional Problems.” 2015. Web. 17 Aug 2018.

Vancouver:

Li MTC. The Anchored Separated Representation for High Dimensional Problems. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2018 Aug 17]. Available from: http://hdl.handle.net/1807/70437.

Council of Science Editors:

Li MTC. The Anchored Separated Representation for High Dimensional Problems. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70437


Université Catholique de Louvain

6. Lambot, Sue. Optimization of the REED web application for automatic outlier detection in predictive medicine.

Degree: 2017, Université Catholique de Louvain

This master thesis aims at proposing a solution to improve the current outlier detection method used by the REED online tool developed by DNAlytics and… (more)

Subjects/Keywords: machine learning; outlier detection; high dimensionality; predictive medicine; data mining

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APA (6th Edition):

Lambot, S. (2017). Optimization of the REED web application for automatic outlier detection in predictive medicine. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/thesis:10684

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lambot, Sue. “Optimization of the REED web application for automatic outlier detection in predictive medicine.” 2017. Thesis, Université Catholique de Louvain. Accessed August 17, 2018. http://hdl.handle.net/2078.1/thesis:10684.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lambot, Sue. “Optimization of the REED web application for automatic outlier detection in predictive medicine.” 2017. Web. 17 Aug 2018.

Vancouver:

Lambot S. Optimization of the REED web application for automatic outlier detection in predictive medicine. [Internet] [Thesis]. Université Catholique de Louvain; 2017. [cited 2018 Aug 17]. Available from: http://hdl.handle.net/2078.1/thesis:10684.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lambot S. Optimization of the REED web application for automatic outlier detection in predictive medicine. [Thesis]. Université Catholique de Louvain; 2017. Available from: http://hdl.handle.net/2078.1/thesis:10684

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Victoria

7. Duan, Jun. Nowcasting by the BSTS-U-MIDAS Model.

Degree: Department of Economics, 2015, University of Victoria

 Using high frequency data for forecasting or nowcasting, we have to deal with three major problems: the mixed frequency problem, the high dimensionality (fat re-… (more)

Subjects/Keywords: forecasting; nowcasting; BSTS-U-MIDAS model; high frequency data; mixed frequency problem; high dimensionality

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APA (6th Edition):

Duan, J. (2015). Nowcasting by the BSTS-U-MIDAS Model. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/6711

Chicago Manual of Style (16th Edition):

Duan, Jun. “Nowcasting by the BSTS-U-MIDAS Model.” 2015. Masters Thesis, University of Victoria. Accessed August 17, 2018. http://hdl.handle.net/1828/6711.

MLA Handbook (7th Edition):

Duan, Jun. “Nowcasting by the BSTS-U-MIDAS Model.” 2015. Web. 17 Aug 2018.

Vancouver:

Duan J. Nowcasting by the BSTS-U-MIDAS Model. [Internet] [Masters thesis]. University of Victoria; 2015. [cited 2018 Aug 17]. Available from: http://hdl.handle.net/1828/6711.

Council of Science Editors:

Duan J. Nowcasting by the BSTS-U-MIDAS Model. [Masters Thesis]. University of Victoria; 2015. Available from: http://hdl.handle.net/1828/6711


University of Colorado

8. Goetz-Weiss, Lukas Ruediger Nelson. Dimensionality Detection and the Geometric Median on Data Manifolds.

Degree: MS, Applied Mathematics, 2017, University of Colorado

  In many applications high-dimensional observations are assumed to arrange on or near a low-dimensional manifold embedded in an ambient Euclidean space. In this thesis,… (more)

Subjects/Keywords: Dimensionality Detection; Equation-Free; Geometric Median; High-Dimensional Processes; Manifold Learning; Applied Mechanics

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APA (6th Edition):

Goetz-Weiss, L. R. N. (2017). Dimensionality Detection and the Geometric Median on Data Manifolds. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/95

Chicago Manual of Style (16th Edition):

Goetz-Weiss, Lukas Ruediger Nelson. “Dimensionality Detection and the Geometric Median on Data Manifolds.” 2017. Masters Thesis, University of Colorado. Accessed August 17, 2018. https://scholar.colorado.edu/appm_gradetds/95.

MLA Handbook (7th Edition):

Goetz-Weiss, Lukas Ruediger Nelson. “Dimensionality Detection and the Geometric Median on Data Manifolds.” 2017. Web. 17 Aug 2018.

Vancouver:

Goetz-Weiss LRN. Dimensionality Detection and the Geometric Median on Data Manifolds. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2018 Aug 17]. Available from: https://scholar.colorado.edu/appm_gradetds/95.

Council of Science Editors:

Goetz-Weiss LRN. Dimensionality Detection and the Geometric Median on Data Manifolds. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/appm_gradetds/95


University of Toledo

9. Pathical, Santhosh P. Classification in High Dimensional Feature Spaces through Random Subspace Ensembles.

Degree: MSin Engineering, Engineering (Computer Science), 2010, University of Toledo

 This thesis presents an empirical simulation study on application of machine learning ensembles based on random subspace methodology to classification problems with high-dimensional feature spaces.… (more)

Subjects/Keywords: Computer Science; machine learning; classification; ensemble learning; high dimensional datasets; curse of dimensionality

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APA (6th Edition):

Pathical, S. P. (2010). Classification in High Dimensional Feature Spaces through Random Subspace Ensembles. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1290024890

Chicago Manual of Style (16th Edition):

Pathical, Santhosh P. “Classification in High Dimensional Feature Spaces through Random Subspace Ensembles.” 2010. Masters Thesis, University of Toledo. Accessed August 17, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1290024890.

MLA Handbook (7th Edition):

Pathical, Santhosh P. “Classification in High Dimensional Feature Spaces through Random Subspace Ensembles.” 2010. Web. 17 Aug 2018.

Vancouver:

Pathical SP. Classification in High Dimensional Feature Spaces through Random Subspace Ensembles. [Internet] [Masters thesis]. University of Toledo; 2010. [cited 2018 Aug 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1290024890.

Council of Science Editors:

Pathical SP. Classification in High Dimensional Feature Spaces through Random Subspace Ensembles. [Masters Thesis]. University of Toledo; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1290024890


University of Hawaii – Manoa

10. Liang, Lu. Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions.

Degree: 2017, University of Hawaii – Manoa

Ph.D. University of Hawaii at Manoa 2016.

Factor analysis (FA) and principal component analysis (PCA) are routinely employed in research in the social sciences. Guttman… (more)

Subjects/Keywords: High-dimensionality; Large p small N; Regularization; Ridge regression; Shrinkage; Fisher’s z-transformation; Canonical correlation

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APA (6th Edition):

Liang, L. (2017). Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/51387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liang, Lu. “Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions.” 2017. Thesis, University of Hawaii – Manoa. Accessed August 17, 2018. http://hdl.handle.net/10125/51387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liang, Lu. “Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions.” 2017. Web. 17 Aug 2018.

Vancouver:

Liang L. Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions. [Internet] [Thesis]. University of Hawaii – Manoa; 2017. [cited 2018 Aug 17]. Available from: http://hdl.handle.net/10125/51387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liang L. Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions. [Thesis]. University of Hawaii – Manoa; 2017. Available from: http://hdl.handle.net/10125/51387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Montana

11. Hossler, John Zachary. Inference for High-Dimensional Doubly Multivariate Data under General Conditions.

Degree: PhD, 2012, University of Montana

  With technological, research, and theoretical advancements, the amount of data being generated for analysis is growing rapidly. In many cases, the number of subjects… (more)

Subjects/Keywords: Central limit theorem; High-dimensionality; Longitudinal data; MANOVA; Repeated measures; Unstructured variance/covariance

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APA (6th Edition):

Hossler, J. Z. (2012). Inference for High-Dimensional Doubly Multivariate Data under General Conditions. (Doctoral Dissertation). University of Montana. Retrieved from https://scholarworks.umt.edu/etd/573

Chicago Manual of Style (16th Edition):

Hossler, John Zachary. “Inference for High-Dimensional Doubly Multivariate Data under General Conditions.” 2012. Doctoral Dissertation, University of Montana. Accessed August 17, 2018. https://scholarworks.umt.edu/etd/573.

MLA Handbook (7th Edition):

Hossler, John Zachary. “Inference for High-Dimensional Doubly Multivariate Data under General Conditions.” 2012. Web. 17 Aug 2018.

Vancouver:

Hossler JZ. Inference for High-Dimensional Doubly Multivariate Data under General Conditions. [Internet] [Doctoral dissertation]. University of Montana; 2012. [cited 2018 Aug 17]. Available from: https://scholarworks.umt.edu/etd/573.

Council of Science Editors:

Hossler JZ. Inference for High-Dimensional Doubly Multivariate Data under General Conditions. [Doctoral Dissertation]. University of Montana; 2012. Available from: https://scholarworks.umt.edu/etd/573


Anna University

12. Uma, S. Analysis of certain nonlinear time series systems using soft computing techniques; -.

Degree: Information and Communication Engineering, 2014, Anna University

Nonlinear time series prediction has been a challenging task and important area of research in all branches of science and technology Though several techniques are… (more)

Subjects/Keywords: Discrete Wavelet Transform; Extended Hybrid Dimensionality Reduction; High Low Non-overlapping; Hybrid Dimensionality Reduction; Information and communication engineering; Nonlinear time series system; Soft computing techniques

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APA (6th Edition):

Uma, S. (2014). Analysis of certain nonlinear time series systems using soft computing techniques; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24769

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Uma, S. “Analysis of certain nonlinear time series systems using soft computing techniques; -.” 2014. Thesis, Anna University. Accessed August 17, 2018. http://shodhganga.inflibnet.ac.in/handle/10603/24769.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Uma, S. “Analysis of certain nonlinear time series systems using soft computing techniques; -.” 2014. Web. 17 Aug 2018.

Vancouver:

Uma S. Analysis of certain nonlinear time series systems using soft computing techniques; -. [Internet] [Thesis]. Anna University; 2014. [cited 2018 Aug 17]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24769.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Uma S. Analysis of certain nonlinear time series systems using soft computing techniques; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24769

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Humboldt University of Berlin

13. Stepanchenko, Anastasia. GitHub-API-driven clustering with 5-level text mining validation pipeline: R based approach.

Degree: 2016, Humboldt University of Berlin

Heutzutage ist die wissenschaftliche Welt ohne Big Data nicht mehr vorstellbar. Obwohl diese Technologie viele Möglichkeiten bietet, um Muster und Strukturen in einer bestimmten Datenmenge… (more)

Subjects/Keywords: Statistik; Wirtschaft; Clusteranalyse; Big Data; SVD; SVD; Text Mining; Dimensionsreduktion; LSA; Clustering-Validierung; hohe Dimensionalität; LSA; big data; text mining; clustering; clustering validation; high dimensionality; dimensionality reduction; ddc:330

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APA (6th Edition):

Stepanchenko, A. (2016). GitHub-API-driven clustering with 5-level text mining validation pipeline: R based approach. (Masters Thesis). Humboldt University of Berlin. Retrieved from http://edoc.hu-berlin.de/docviews/abstract.php?id=42799 ; http://edoc.hu-berlin.de/master/stepanchenko-anastasia-2016-06-29/PDF/stepanchenko.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100239706

Chicago Manual of Style (16th Edition):

Stepanchenko, Anastasia. “GitHub-API-driven clustering with 5-level text mining validation pipeline: R based approach.” 2016. Masters Thesis, Humboldt University of Berlin. Accessed August 17, 2018. http://edoc.hu-berlin.de/docviews/abstract.php?id=42799 ; http://edoc.hu-berlin.de/master/stepanchenko-anastasia-2016-06-29/PDF/stepanchenko.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100239706.

MLA Handbook (7th Edition):

Stepanchenko, Anastasia. “GitHub-API-driven clustering with 5-level text mining validation pipeline: R based approach.” 2016. Web. 17 Aug 2018.

Vancouver:

Stepanchenko A. GitHub-API-driven clustering with 5-level text mining validation pipeline: R based approach. [Internet] [Masters thesis]. Humboldt University of Berlin; 2016. [cited 2018 Aug 17]. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=42799 ; http://edoc.hu-berlin.de/master/stepanchenko-anastasia-2016-06-29/PDF/stepanchenko.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100239706.

Council of Science Editors:

Stepanchenko A. GitHub-API-driven clustering with 5-level text mining validation pipeline: R based approach. [Masters Thesis]. Humboldt University of Berlin; 2016. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=42799 ; http://edoc.hu-berlin.de/master/stepanchenko-anastasia-2016-06-29/PDF/stepanchenko.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100239706


Universidade do Rio Grande do Sul

14. Liczbinski, Celso Antonio. Classificação de dados imagens em alta dimensionalidade, empregando amostras semi-rotuladas e estimadores para as probabilidades a priori.

Degree: 2007, Universidade do Rio Grande do Sul

Em cenas naturais, ocorrem com certa freqüência classes espectralmente muito similares, isto é, os vetores média são muito próximos. Em situações como esta dados de… (more)

Subjects/Keywords: Remote sensing; Sensoriamento remoto; Imagens digitais; Patterns of recognition; A priori probability; Semi-labeled samples; High dimensionality image data

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APA (6th Edition):

Liczbinski, C. A. (2007). Classificação de dados imagens em alta dimensionalidade, empregando amostras semi-rotuladas e estimadores para as probabilidades a priori. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/12014

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liczbinski, Celso Antonio. “Classificação de dados imagens em alta dimensionalidade, empregando amostras semi-rotuladas e estimadores para as probabilidades a priori.” 2007. Thesis, Universidade do Rio Grande do Sul. Accessed August 17, 2018. http://hdl.handle.net/10183/12014.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liczbinski, Celso Antonio. “Classificação de dados imagens em alta dimensionalidade, empregando amostras semi-rotuladas e estimadores para as probabilidades a priori.” 2007. Web. 17 Aug 2018.

Vancouver:

Liczbinski CA. Classificação de dados imagens em alta dimensionalidade, empregando amostras semi-rotuladas e estimadores para as probabilidades a priori. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2007. [cited 2018 Aug 17]. Available from: http://hdl.handle.net/10183/12014.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liczbinski CA. Classificação de dados imagens em alta dimensionalidade, empregando amostras semi-rotuladas e estimadores para as probabilidades a priori. [Thesis]. Universidade do Rio Grande do Sul; 2007. Available from: http://hdl.handle.net/10183/12014

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Toronto

15. Mitry, Mina. Reduced Order Surrogate Modelling (ROSM) of High Dimensional Deterministic Simulations.

Degree: 2014, University of Toronto

Often, computationally expensive engineering simulations can prohibit the engineering design process. As a result, designers may turn to a less computationally demanding approximate, or surrogate, model to facilitate their design process. However, owing to the

M.A.S.

Advisors/Committee Members: Nair, B Prasanth, Aerospace Science and Engineering.

Subjects/Keywords: dimensionality reduction; high dimensional data; kernel principal component analysis; linear principal component analysis; reduced order model; surrogate modelling; 0538

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APA (6th Edition):

Mitry, M. (2014). Reduced Order Surrogate Modelling (ROSM) of High Dimensional Deterministic Simulations. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/68047

Chicago Manual of Style (16th Edition):

Mitry, Mina. “Reduced Order Surrogate Modelling (ROSM) of High Dimensional Deterministic Simulations.” 2014. Masters Thesis, University of Toronto. Accessed August 17, 2018. http://hdl.handle.net/1807/68047.

MLA Handbook (7th Edition):

Mitry, Mina. “Reduced Order Surrogate Modelling (ROSM) of High Dimensional Deterministic Simulations.” 2014. Web. 17 Aug 2018.

Vancouver:

Mitry M. Reduced Order Surrogate Modelling (ROSM) of High Dimensional Deterministic Simulations. [Internet] [Masters thesis]. University of Toronto; 2014. [cited 2018 Aug 17]. Available from: http://hdl.handle.net/1807/68047.

Council of Science Editors:

Mitry M. Reduced Order Surrogate Modelling (ROSM) of High Dimensional Deterministic Simulations. [Masters Thesis]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/68047


University of Southern California

16. Zheng, Zemin. Feature selection in high-dimensional modeling with thresholded regression.

Degree: PhD, Applied Mathematics, 2015, University of Southern California

 This dissertation addresses two challenging problems with respect to feature selection in the high-dimensional setting, where the number of covariates can be larger than the… (more)

Subjects/Keywords: prediction and variable selection; high dimensionality; hard-thresholding; global optimality; thresholded regression; shrinkage effect; latent confounding factors; principal components; model selection

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APA (6th Edition):

Zheng, Z. (2015). Feature selection in high-dimensional modeling with thresholded regression. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2783

Chicago Manual of Style (16th Edition):

Zheng, Zemin. “Feature selection in high-dimensional modeling with thresholded regression.” 2015. Doctoral Dissertation, University of Southern California. Accessed August 17, 2018. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2783.

MLA Handbook (7th Edition):

Zheng, Zemin. “Feature selection in high-dimensional modeling with thresholded regression.” 2015. Web. 17 Aug 2018.

Vancouver:

Zheng Z. Feature selection in high-dimensional modeling with thresholded regression. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2018 Aug 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2783.

Council of Science Editors:

Zheng Z. Feature selection in high-dimensional modeling with thresholded regression. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2783


University of Colorado

17. Biagioni, David Joseph. Numerical construction of Green’s functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations.

Degree: PhD, Applied Mathematics, 2012, University of Colorado

  This thesis consists of two parts. In Part I, we describe an algorithm for approximating the Green's function for elliptic problems with variable coefficients… (more)

Subjects/Keywords: Curse of dimensionality; Direct Poisson solver; High dimensional partial differential equations; Numerical analysis; Randomized canonical tensor decomposition; Separated representations; Applied Mathematics

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APA (6th Edition):

Biagioni, D. J. (2012). Numerical construction of Green’s functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/appm_gradetds/29

Chicago Manual of Style (16th Edition):

Biagioni, David Joseph. “Numerical construction of Green’s functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations.” 2012. Doctoral Dissertation, University of Colorado. Accessed August 17, 2018. http://scholar.colorado.edu/appm_gradetds/29.

MLA Handbook (7th Edition):

Biagioni, David Joseph. “Numerical construction of Green’s functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations.” 2012. Web. 17 Aug 2018.

Vancouver:

Biagioni DJ. Numerical construction of Green’s functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2018 Aug 17]. Available from: http://scholar.colorado.edu/appm_gradetds/29.

Council of Science Editors:

Biagioni DJ. Numerical construction of Green’s functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations. [Doctoral Dissertation]. University of Colorado; 2012. Available from: http://scholar.colorado.edu/appm_gradetds/29


University of Michigan

18. Firouzi, Hamed. High Dimensional Correlation Networks And Their Applications.

Degree: PhD, Electrical Engineering: Systems, 2015, University of Michigan

 Analysis of interactions between variables in a large data set has recently attracted special attention in the context of high dimensional multivariate statistical analysis. Variable… (more)

Subjects/Keywords: Big Data; High Dimensional Data; Correlation Analysis; Time Series Analysis; Covariance Estimation; Dimensionality Reduction; Electrical Engineering; Engineering

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APA (6th Edition):

Firouzi, H. (2015). High Dimensional Correlation Networks And Their Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113492

Chicago Manual of Style (16th Edition):

Firouzi, Hamed. “High Dimensional Correlation Networks And Their Applications.” 2015. Doctoral Dissertation, University of Michigan. Accessed August 17, 2018. http://hdl.handle.net/2027.42/113492.

MLA Handbook (7th Edition):

Firouzi, Hamed. “High Dimensional Correlation Networks And Their Applications.” 2015. Web. 17 Aug 2018.

Vancouver:

Firouzi H. High Dimensional Correlation Networks And Their Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2018 Aug 17]. Available from: http://hdl.handle.net/2027.42/113492.

Council of Science Editors:

Firouzi H. High Dimensional Correlation Networks And Their Applications. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113492


Université Paris-Sud – Paris XI

19. El anbari, Mohammed. Regularisation and variable selection using penalized likelihood : Régularisation et sélection de variables par le biais de la vraisemblance pénalisée.

Degree: Docteur es, Mathématiques, 2011, Université Paris-Sud – Paris XI

Dans cette thèse nous nous intéressons aux problèmes de la sélection de variables en régression linéaire. Ces travaux sont en particulier motivés par les développements… (more)

Subjects/Keywords: Réduction de la dimension; Grandes dimensions; Lasso; Scad; Elastic-net; Sélection de modèles; Propriétés d’Oracle; Zellner’s g- prior; Calibration; Dimensionality réduction; High dimensionality; LASSO; Scad; Elastic-net; Model selection; Oracle property; Zellner’s g-prior; Calibration; Scad

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APA (6th Edition):

El anbari, M. (2011). Regularisation and variable selection using penalized likelihood : Régularisation et sélection de variables par le biais de la vraisemblance pénalisée. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2011PA112297

Chicago Manual of Style (16th Edition):

El anbari, Mohammed. “Regularisation and variable selection using penalized likelihood : Régularisation et sélection de variables par le biais de la vraisemblance pénalisée.” 2011. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed August 17, 2018. http://www.theses.fr/2011PA112297.

MLA Handbook (7th Edition):

El anbari, Mohammed. “Regularisation and variable selection using penalized likelihood : Régularisation et sélection de variables par le biais de la vraisemblance pénalisée.” 2011. Web. 17 Aug 2018.

Vancouver:

El anbari M. Regularisation and variable selection using penalized likelihood : Régularisation et sélection de variables par le biais de la vraisemblance pénalisée. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2011. [cited 2018 Aug 17]. Available from: http://www.theses.fr/2011PA112297.

Council of Science Editors:

El anbari M. Regularisation and variable selection using penalized likelihood : Régularisation et sélection de variables par le biais de la vraisemblance pénalisée. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2011. Available from: http://www.theses.fr/2011PA112297


Humboldt University of Berlin

20. Sirotko-Sibirskaya, Natalia. Value-at-risk estimation for a high-dimensional portfolio.

Degree: 2013, Humboldt University of Berlin

Increasing complexity of financial instruments and improving data availability along with its variability pose new challenges for the academics as well as for practitioners. In… (more)

Subjects/Keywords: Statistik; Wirtschaft; Value-at-Risk; value-at-risk; factor models; high-dimensionality; shrinkage; hohe Dimensionalität; Shrinkage-Schätzer; Kovarianz; Faktoren-Modelle; ddc:330

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APA (6th Edition):

Sirotko-Sibirskaya, N. (2013). Value-at-risk estimation for a high-dimensional portfolio. (Masters Thesis). Humboldt University of Berlin. Retrieved from http://edoc.hu-berlin.de/docviews/abstract.php?id=40391 ; http://edoc.hu-berlin.de/master/sirotko-sibirskaya-natalia-2013-11-19/PDF/sirotko-sibirskaya.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100213539

Chicago Manual of Style (16th Edition):

Sirotko-Sibirskaya, Natalia. “Value-at-risk estimation for a high-dimensional portfolio.” 2013. Masters Thesis, Humboldt University of Berlin. Accessed August 17, 2018. http://edoc.hu-berlin.de/docviews/abstract.php?id=40391 ; http://edoc.hu-berlin.de/master/sirotko-sibirskaya-natalia-2013-11-19/PDF/sirotko-sibirskaya.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100213539.

MLA Handbook (7th Edition):

Sirotko-Sibirskaya, Natalia. “Value-at-risk estimation for a high-dimensional portfolio.” 2013. Web. 17 Aug 2018.

Vancouver:

Sirotko-Sibirskaya N. Value-at-risk estimation for a high-dimensional portfolio. [Internet] [Masters thesis]. Humboldt University of Berlin; 2013. [cited 2018 Aug 17]. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=40391 ; http://edoc.hu-berlin.de/master/sirotko-sibirskaya-natalia-2013-11-19/PDF/sirotko-sibirskaya.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100213539.

Council of Science Editors:

Sirotko-Sibirskaya N. Value-at-risk estimation for a high-dimensional portfolio. [Masters Thesis]. Humboldt University of Berlin; 2013. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=40391 ; http://edoc.hu-berlin.de/master/sirotko-sibirskaya-natalia-2013-11-19/PDF/sirotko-sibirskaya.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100213539

21. Rijo, Sara Marina Albino. Técnicas de deep learning para detecção de eventos em áudio: treino de modelos acústicos a partir de sinais puros.

Degree: 2018, Universidade de Évora

 O vídeo é atualmente um dos recursos mais utilizados e em constante expansão no mundo digital, sendo que em 2019 será responsável por 80% do… (more)

Subjects/Keywords: Redes neuronais profundas; Classificação de som; Aprendizagem máquina; Dados reais; Alta dimensionalidade; Deep neural networks; Sound classification; Machine learning; Real data; High dimensionality

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APA (6th Edition):

Rijo, S. M. A. (2018). Técnicas de deep learning para detecção de eventos em áudio: treino de modelos acústicos a partir de sinais puros. (Thesis). Universidade de Évora. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/22275

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rijo, Sara Marina Albino. “Técnicas de deep learning para detecção de eventos em áudio: treino de modelos acústicos a partir de sinais puros.” 2018. Thesis, Universidade de Évora. Accessed August 17, 2018. https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/22275.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rijo, Sara Marina Albino. “Técnicas de deep learning para detecção de eventos em áudio: treino de modelos acústicos a partir de sinais puros.” 2018. Web. 17 Aug 2018.

Vancouver:

Rijo SMA. Técnicas de deep learning para detecção de eventos em áudio: treino de modelos acústicos a partir de sinais puros. [Internet] [Thesis]. Universidade de Évora; 2018. [cited 2018 Aug 17]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/22275.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rijo SMA. Técnicas de deep learning para detecção de eventos em áudio: treino de modelos acústicos a partir de sinais puros. [Thesis]. Universidade de Évora; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/22275

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Wang, Fa. Essays on structural changes in high dimensional econometric models.

Degree: PhD, Economics, 2016, Syracuse University

  This dissertation consists of three essays on estimating and testing structural changes in high dimensional econometrics models. These essays are based on three working… (more)

Subjects/Keywords: high dimensionality; structural changes; Social and Behavioral Sciences

…58 62 63 67 72 75 76 78 82 83 86 89 92 Essay III: Estimating and Testing High Dimensional… …91 Essay III: Estimating and Testing High Dimensional Factor Models with Multiple… …88 Essay III: Estimating and Testing High Dimensional Factor Models with Multiple… …with high probability. This contradicts that N1 N i=1 XiT = Op (1). Suppose P… 

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APA (6th Edition):

Wang, F. (2016). Essays on structural changes in high dimensional econometric models. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/458

Chicago Manual of Style (16th Edition):

Wang, Fa. “Essays on structural changes in high dimensional econometric models.” 2016. Doctoral Dissertation, Syracuse University. Accessed August 17, 2018. https://surface.syr.edu/etd/458.

MLA Handbook (7th Edition):

Wang, Fa. “Essays on structural changes in high dimensional econometric models.” 2016. Web. 17 Aug 2018.

Vancouver:

Wang F. Essays on structural changes in high dimensional econometric models. [Internet] [Doctoral dissertation]. Syracuse University; 2016. [cited 2018 Aug 17]. Available from: https://surface.syr.edu/etd/458.

Council of Science Editors:

Wang F. Essays on structural changes in high dimensional econometric models. [Doctoral Dissertation]. Syracuse University; 2016. Available from: https://surface.syr.edu/etd/458

23. Cordeiro, Robson Leonardo Ferreira. Data mining in large sets of complex data.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2011, University of São Paulo

Due to the increasing amount and complexity of the data stored in the enterprisesd́atabases, the task of knowledge discovery is nowadays vital to support strategic… (more)

Subjects/Keywords: Agrupamento de correlação; Correlation clustering; Dados de média à alta dimensionalidade; Labeling and summarization; MapReduce; MapReduce; Mineração de dados em escala de terabytes; Moderante-to-high dimensionality data; Rotulação e sumarização; Terabyte-scale data mining

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APA (6th Edition):

Cordeiro, R. L. F. (2011). Data mining in large sets of complex data. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22112011-083653/ ;

Chicago Manual of Style (16th Edition):

Cordeiro, Robson Leonardo Ferreira. “Data mining in large sets of complex data.” 2011. Doctoral Dissertation, University of São Paulo. Accessed August 17, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22112011-083653/ ;.

MLA Handbook (7th Edition):

Cordeiro, Robson Leonardo Ferreira. “Data mining in large sets of complex data.” 2011. Web. 17 Aug 2018.

Vancouver:

Cordeiro RLF. Data mining in large sets of complex data. [Internet] [Doctoral dissertation]. University of São Paulo; 2011. [cited 2018 Aug 17]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22112011-083653/ ;.

Council of Science Editors:

Cordeiro RLF. Data mining in large sets of complex data. [Doctoral Dissertation]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22112011-083653/ ;

24. Shih, Vivian H. Statistical Methods for Evaluating Relational Structures in Multi-Dimensional Phenotypic Data for Neuropsychiatric Disorders.

Degree: Biostatistics, 2013, UCLA

 While awareness and detection of neuropsychiatric disorders have been on the rise since the mid-twentieth century, current diagnostic approaches lack laboratory-based support from genetic, neuroscientific,… (more)

Subjects/Keywords: Biostatistics; Psychology; adaptive shrinkage; graphical models; high-dimensionality; neurocognition; neuropsychiatric disorders; phenomics

High-Dimensional Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2… …146 6 Methodological Issues to Consider When Analyzing High-Dimensional Phenotypic Data… …High-Dimensional Data . . . . . . . 183 6.2.3 Gaussian Graphical Models vs. Factor Analysis… …a) a child with high inattentiveness but low hyperactivity, (b) a child… …with high hyperactivity but low inattentiveness, (c) a child with high levels of… 

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APA (6th Edition):

Shih, V. H. (2013). Statistical Methods for Evaluating Relational Structures in Multi-Dimensional Phenotypic Data for Neuropsychiatric Disorders. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/43q2g29b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shih, Vivian H. “Statistical Methods for Evaluating Relational Structures in Multi-Dimensional Phenotypic Data for Neuropsychiatric Disorders.” 2013. Thesis, UCLA. Accessed August 17, 2018. http://www.escholarship.org/uc/item/43q2g29b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shih, Vivian H. “Statistical Methods for Evaluating Relational Structures in Multi-Dimensional Phenotypic Data for Neuropsychiatric Disorders.” 2013. Web. 17 Aug 2018.

Vancouver:

Shih VH. Statistical Methods for Evaluating Relational Structures in Multi-Dimensional Phenotypic Data for Neuropsychiatric Disorders. [Internet] [Thesis]. UCLA; 2013. [cited 2018 Aug 17]. Available from: http://www.escholarship.org/uc/item/43q2g29b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shih VH. Statistical Methods for Evaluating Relational Structures in Multi-Dimensional Phenotypic Data for Neuropsychiatric Disorders. [Thesis]. UCLA; 2013. Available from: http://www.escholarship.org/uc/item/43q2g29b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

25. Ghodsi Boushehri, Ali. Nonlinear Dimensionality Reduction with Side Information.

Degree: 2006, University of Waterloo

 In this thesis, I look at three problems with important applications in data processing. Incorporating side information, provided by the user or derived from data,… (more)

Subjects/Keywords: Mathematics; Statistics; Computer Science; Artificial intelligence; Machine learning; Dimensionality reduction; Manifold learning; Unsupervised learning; High dimensional data

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APA (6th Edition):

Ghodsi Boushehri, A. (2006). Nonlinear Dimensionality Reduction with Side Information. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/1020

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ghodsi Boushehri, Ali. “Nonlinear Dimensionality Reduction with Side Information.” 2006. Thesis, University of Waterloo. Accessed August 17, 2018. http://hdl.handle.net/10012/1020.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ghodsi Boushehri, Ali. “Nonlinear Dimensionality Reduction with Side Information.” 2006. Web. 17 Aug 2018.

Vancouver:

Ghodsi Boushehri A. Nonlinear Dimensionality Reduction with Side Information. [Internet] [Thesis]. University of Waterloo; 2006. [cited 2018 Aug 17]. Available from: http://hdl.handle.net/10012/1020.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghodsi Boushehri A. Nonlinear Dimensionality Reduction with Side Information. [Thesis]. University of Waterloo; 2006. Available from: http://hdl.handle.net/10012/1020

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Gu, Weijie. Estimating False Discovery Proportion under Covariance Dependence .

Degree: PhD, 2012, Princeton University

 Multiple hypothesis testing is a fundamental problem in high dimensional inference, with wide applications in many scientific fields. In genome-wide association studies, tens of thousands… (more)

Subjects/Keywords: approximate factor model; covariance dependence; false discovery proportion; high dimensionality; multiple hypothesis testing

…compared to the dimensionality p. The normal mean µ = (µ1 , · · · , µp )T is a high… …unknown. However, due to the high dimensionality and sparsity, both p and p0 are large and p1 is… …modern research for high dimensional inference, with wide applications in scientific fields… …be compromised in high correlation situations. There are several papers that show the… …high dimensional multiple testing which can deal with any arbitrary dependence structure and… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Gu, W. (2012). Estimating False Discovery Proportion under Covariance Dependence . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp019019s2505

Chicago Manual of Style (16th Edition):

Gu, Weijie. “Estimating False Discovery Proportion under Covariance Dependence .” 2012. Doctoral Dissertation, Princeton University. Accessed August 17, 2018. http://arks.princeton.edu/ark:/88435/dsp019019s2505.

MLA Handbook (7th Edition):

Gu, Weijie. “Estimating False Discovery Proportion under Covariance Dependence .” 2012. Web. 17 Aug 2018.

Vancouver:

Gu W. Estimating False Discovery Proportion under Covariance Dependence . [Internet] [Doctoral dissertation]. Princeton University; 2012. [cited 2018 Aug 17]. Available from: http://arks.princeton.edu/ark:/88435/dsp019019s2505.

Council of Science Editors:

Gu W. Estimating False Discovery Proportion under Covariance Dependence . [Doctoral Dissertation]. Princeton University; 2012. Available from: http://arks.princeton.edu/ark:/88435/dsp019019s2505

27. Bykovskaya, Svetlana. Portfolio selection in case of high dimensionality.

Degree: 2015, Humboldt University of Berlin

Das Problem der Portfolioauswahl war immer eines der wichtigsten Themen in der Investionstheorie. Das betrifft nicht nur das Verfahren der Portfolioauswahl an sich aber auch… (more)

Subjects/Keywords: Statistik; Wirtschaft; high dimensionality; Portfolio Optimierung; Hochdimensionalität; Shrinkage Schätzer; Schätzer des Erwartunswerts; Schätzer der Kovarianz; portfolio selection; shrinkage estimator; mean estimator; covariance matrix estimator; ddc:330

…other applications often require data analyzing in case of high dimensionality (p is… …in case of high dimensionality. This problem has been widely discussed in literature (… …the high dimensionality of the data and, therefore, are efficient for analysis of large data… …covariance matrix. Therefore, in case of high dimensionality these estimators break down. Ledoit… …the behavior of stock-market prices. Thus we have the case of high dimensionality: p = 1… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bykovskaya, S. (2015). Portfolio selection in case of high dimensionality. (Masters Thesis). Humboldt University of Berlin. Retrieved from http://edoc.hu-berlin.de/docviews/abstract.php?id=41829 ; http://edoc.hu-berlin.de/master/bykovskaya-svetlana-2015-04-20/PDF/bykovskaya.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100230275

Chicago Manual of Style (16th Edition):

Bykovskaya, Svetlana. “Portfolio selection in case of high dimensionality.” 2015. Masters Thesis, Humboldt University of Berlin. Accessed August 17, 2018. http://edoc.hu-berlin.de/docviews/abstract.php?id=41829 ; http://edoc.hu-berlin.de/master/bykovskaya-svetlana-2015-04-20/PDF/bykovskaya.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100230275.

MLA Handbook (7th Edition):

Bykovskaya, Svetlana. “Portfolio selection in case of high dimensionality.” 2015. Web. 17 Aug 2018.

Vancouver:

Bykovskaya S. Portfolio selection in case of high dimensionality. [Internet] [Masters thesis]. Humboldt University of Berlin; 2015. [cited 2018 Aug 17]. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=41829 ; http://edoc.hu-berlin.de/master/bykovskaya-svetlana-2015-04-20/PDF/bykovskaya.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100230275.

Council of Science Editors:

Bykovskaya S. Portfolio selection in case of high dimensionality. [Masters Thesis]. Humboldt University of Berlin; 2015. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=41829 ; http://edoc.hu-berlin.de/master/bykovskaya-svetlana-2015-04-20/PDF/bykovskaya.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100230275

28. Kleist, Caroline. Time series data mining methods.

Degree: 2015, Humboldt University of Berlin

Heutzutage sind die Möglichkeiten der Datensammlung und -Speicherung unvorstellbar weitreichend und somit können Zeitreihendatensätze mittlerweile bis zu einer Billion Beobachtungen enthalten. Die Aufgabe von Data… (more)

Subjects/Keywords: Statistik; Wirtschaft; Data Mining; Data Mining; Zeitreihen Data Mining; Big Data; Hochdimensional; Knowledge Mining; Literaturüberblick; Time Series Data Mining; Big Data; High Dimensionality; Knowledge Mining; Review; ddc:330

…time series come along with super-high dimensionality, noise along characteristic patterns… …the dimensionality of large time series is typically very high (Rakthanmanon et al… …very fast become anything but trivial. As a result of the very high dimensionality of large… …thousand observations can be challenging Lin et al. (2005). Working with super-high… …x29;. Therefore, a high level representation of the data or abstraction is required. Besides… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kleist, C. (2015). Time series data mining methods. (Masters Thesis). Humboldt University of Berlin. Retrieved from http://edoc.hu-berlin.de/docviews/abstract.php?id=41733 ; http://edoc.hu-berlin.de/master/kleist-caroline-2015-03-25/PDF/kleist.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100229323

Chicago Manual of Style (16th Edition):

Kleist, Caroline. “Time series data mining methods.” 2015. Masters Thesis, Humboldt University of Berlin. Accessed August 17, 2018. http://edoc.hu-berlin.de/docviews/abstract.php?id=41733 ; http://edoc.hu-berlin.de/master/kleist-caroline-2015-03-25/PDF/kleist.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100229323.

MLA Handbook (7th Edition):

Kleist, Caroline. “Time series data mining methods.” 2015. Web. 17 Aug 2018.

Vancouver:

Kleist C. Time series data mining methods. [Internet] [Masters thesis]. Humboldt University of Berlin; 2015. [cited 2018 Aug 17]. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=41733 ; http://edoc.hu-berlin.de/master/kleist-caroline-2015-03-25/PDF/kleist.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100229323.

Council of Science Editors:

Kleist C. Time series data mining methods. [Masters Thesis]. Humboldt University of Berlin; 2015. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=41733 ; http://edoc.hu-berlin.de/master/kleist-caroline-2015-03-25/PDF/kleist.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100229323

29. Ferles, Christos. Υβριδικό πιθανοτικό δίκτυο μη επιβλεπόμενης μάθησης για την ανάλυση ακολουθιών συμβόλων και βιολογικών αλληλουχιών.

Degree: 2014, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

Hybrid machine learning networks can be formed by merging unsupervisedlearning/self-organizing techniques and probabilistic approaches, in an effort tocombine their advantages and overcome certain of their… (more)

Subjects/Keywords: Μηχανική μάθηση; Νευρωνικά δίκτυα; Υπολογιστική νοημοσύνη; Πιθανοτικοί αλγόριθμοι μη επιβλεπόμενης μάθησης; Αυτό-οργανούμενοι χάρτες; Κρυφά μοντέλα markov; Αυτόνομη; Χωροχρονική; Ομαδοποίηση; Μείωση διαστατικότητας; Οπτικοποίηση δεδομένων υψηλών διαστάσεων; Μη γραμμική προβολή; Κατηγοριοποίηση; Μη αριθμητικές/συμβολικές ακολουθίες; Βιοπληροφορική; Υπολογιστική μοριακή βιολογία; DNA; RNA; Γονίδια; Πρωτεΐνες; Βιολογικά μόρια; Machine learning; Neural networks; Computational intelligence; Probabilistic unsupervised learning algorithms; Self-organizing maps (SOMs); Hidden markov models (HMMs); Autonomous; Spatiotemporal; Clustering; Dimensionality reduction; High-dimensional data visualization; Nonlinear projection; Classification; Non- numerical/symbolic sequences; Bioinformatics; Computational molecular biology; DNA; RNA; Genes; Proteins; Biological molecules

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ferles, C. (2014). Υβριδικό πιθανοτικό δίκτυο μη επιβλεπόμενης μάθησης για την ανάλυση ακολουθιών συμβόλων και βιολογικών αλληλουχιών. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/39515

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ferles, Christos. “Υβριδικό πιθανοτικό δίκτυο μη επιβλεπόμενης μάθησης για την ανάλυση ακολουθιών συμβόλων και βιολογικών αλληλουχιών.” 2014. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed August 17, 2018. http://hdl.handle.net/10442/hedi/39515.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ferles, Christos. “Υβριδικό πιθανοτικό δίκτυο μη επιβλεπόμενης μάθησης για την ανάλυση ακολουθιών συμβόλων και βιολογικών αλληλουχιών.” 2014. Web. 17 Aug 2018.

Vancouver:

Ferles C. Υβριδικό πιθανοτικό δίκτυο μη επιβλεπόμενης μάθησης για την ανάλυση ακολουθιών συμβόλων και βιολογικών αλληλουχιών. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2014. [cited 2018 Aug 17]. Available from: http://hdl.handle.net/10442/hedi/39515.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ferles C. Υβριδικό πιθανοτικό δίκτυο μη επιβλεπόμενης μάθησης για την ανάλυση ακολουθιών συμβόλων και βιολογικών αλληλουχιών. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2014. Available from: http://hdl.handle.net/10442/hedi/39515

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Tsang, Jeffrey. The Structure of the Space of All Game-Playing Strategies .

Degree: 2014, University of Guelph

 Offering a well-developed setting, mathematical games have been used in the behavioural sciences as a model for studying interactions between agents; proposals have been made… (more)

Subjects/Keywords: game theory; iterated Prisoner's Dilemma; optimal strategies; evolutionary computation; evolutionary game theory; fingerprint; mathematical analysis; finite state transducers; Markov chains; Markov decision process; numerical analysis; algorithms; high-performance computing; dimensionality reduction; multidimensional scaling; visualization; experimental design

…strategies. 6.4 Several measures of whether a value of α is considered high or low, based on… …which represents a significant advance in high-performance computing. Several other measures… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tsang, J. (2014). The Structure of the Space of All Game-Playing Strategies . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8118

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tsang, Jeffrey. “The Structure of the Space of All Game-Playing Strategies .” 2014. Thesis, University of Guelph. Accessed August 17, 2018. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8118.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tsang, Jeffrey. “The Structure of the Space of All Game-Playing Strategies .” 2014. Web. 17 Aug 2018.

Vancouver:

Tsang J. The Structure of the Space of All Game-Playing Strategies . [Internet] [Thesis]. University of Guelph; 2014. [cited 2018 Aug 17]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8118.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tsang J. The Structure of the Space of All Game-Playing Strategies . [Thesis]. University of Guelph; 2014. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8118

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.