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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

URL: https://era.library.ualberta.ca/files/cm039k5065

► 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 (6^{th} 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 (16^{th} Edition):

Fedoruk, John P. “Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements.” 2016. Masters Thesis, University of Alberta. Accessed February 20, 2018. https://era.library.ualberta.ca/files/cm039k5065.

MLA Handbook (7^{th} Edition):

Fedoruk, John P. “Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements.” 2016. Web. 20 Feb 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 Feb 20]. 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

URL: http://hdl.handle.net/1969.1/161367

► 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 (6^{th} 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 (16^{th} Edition):

Wang, Xiao. “Dynamic Orthogonal Subseries for High-Dimensional and Nonstationary Time Series.” 2017. Thesis, Texas A&M University. Accessed February 20, 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 (7^{th} Edition):

Wang, Xiao. “Dynamic Orthogonal Subseries for High-Dimensional and Nonstationary Time Series.” 2017. Web. 20 Feb 2018.

Vancouver:

Wang X. Dynamic Orthogonal Subseries for High-Dimensional and Nonstationary Time Series. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2018 Feb 20]. 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

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

URL: 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

► 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 (6^{th} 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 (16^{th} Edition):

Pimenova, Irina. “Semi-parametric estimation of elliptical distribution in case of high dimensionality.” 2012. Masters Thesis, Humboldt University of Berlin. Accessed February 20, 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 (7^{th} Edition):

Pimenova, Irina. “Semi-parametric estimation of elliptical distribution in case of high dimensionality.” 2012. Web. 20 Feb 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 Feb 20]. 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

URL: https://etda.libraries.psu.edu/catalog/14721muq103

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Qiao, Mu. “Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means.” 2017. Thesis, Penn State University. Accessed February 20, 2018. https://etda.libraries.psu.edu/catalog/14721muq103.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Qiao, Mu. “Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means.” 2017. Web. 20 Feb 2018.

Vancouver:

Qiao M. Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means. [Internet] [Thesis]. Penn State University; 2017. [cited 2018 Feb 20]. Available from: https://etda.libraries.psu.edu/catalog/14721muq103.

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

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

URL: http://hdl.handle.net/1807/70437

►

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 (6^{th} 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 (16^{th} Edition):

Li, Matthew T C. “The Anchored Separated Representation for High Dimensional Problems.” 2015. Masters Thesis, University of Toronto. Accessed February 20, 2018. http://hdl.handle.net/1807/70437.

MLA Handbook (7^{th} Edition):

Li, Matthew T C. “The Anchored Separated Representation for High Dimensional Problems.” 2015. Web. 20 Feb 2018.

Vancouver:

Li MTC. The Anchored Separated Representation for High Dimensional Problems. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2018 Feb 20]. 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

Syracuse University

6.
Wang, Fa.
Essays on structural changes in *high* dimensional econometric models.

Degree: PhD, Economics, 2016, Syracuse University

URL: https://surface.syr.edu/etd/458

► 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

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APA (6^{th} 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 (16^{th} Edition):

Wang, Fa. “Essays on structural changes in high dimensional econometric models.” 2016. Doctoral Dissertation, Syracuse University. Accessed February 20, 2018. https://surface.syr.edu/etd/458.

MLA Handbook (7^{th} Edition):

Wang, Fa. “Essays on structural changes in high dimensional econometric models.” 2016. Web. 20 Feb 2018.

Vancouver:

Wang F. Essays on structural changes in high dimensional econometric models. [Internet] [Doctoral dissertation]. Syracuse University; 2016. [cited 2018 Feb 20]. 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

University of Victoria

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

Degree: Department of Economics, 2015, University of Victoria

URL: http://hdl.handle.net/1828/6711

► 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 (6^{th} 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 (16^{th} Edition):

Duan, Jun. “Nowcasting by the BSTS-U-MIDAS Model.” 2015. Masters Thesis, University of Victoria. Accessed February 20, 2018. http://hdl.handle.net/1828/6711.

MLA Handbook (7^{th} Edition):

Duan, Jun. “Nowcasting by the BSTS-U-MIDAS Model.” 2015. Web. 20 Feb 2018.

Vancouver:

Duan J. Nowcasting by the BSTS-U-MIDAS Model. [Internet] [Masters thesis]. University of Victoria; 2015. [cited 2018 Feb 20]. 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

URL: https://scholar.colorado.edu/appm_gradetds/95

► 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 (6^{th} 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 (16^{th} Edition):

Goetz-Weiss, Lukas Ruediger Nelson. “Dimensionality Detection and the Geometric Median on Data Manifolds.” 2017. Masters Thesis, University of Colorado. Accessed February 20, 2018. https://scholar.colorado.edu/appm_gradetds/95.

MLA Handbook (7^{th} Edition):

Goetz-Weiss, Lukas Ruediger Nelson. “Dimensionality Detection and the Geometric Median on Data Manifolds.” 2017. Web. 20 Feb 2018.

Vancouver:

Goetz-Weiss LRN. Dimensionality Detection and the Geometric Median on Data Manifolds. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2018 Feb 20]. 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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1290024890

► 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 (6^{th} 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 (16^{th} Edition):

Pathical, Santhosh P. “Classification in High Dimensional Feature Spaces through Random Subspace Ensembles.” 2010. Masters Thesis, University of Toledo. Accessed February 20, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1290024890.

MLA Handbook (7^{th} Edition):

Pathical, Santhosh P. “Classification in High Dimensional Feature Spaces through Random Subspace Ensembles.” 2010. Web. 20 Feb 2018.

Vancouver:

Pathical SP. Classification in High Dimensional Feature Spaces through Random Subspace Ensembles. [Internet] [Masters thesis]. University of Toledo; 2010. [cited 2018 Feb 20]. 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

URL: http://hdl.handle.net/10125/51387

►

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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Liang, Lu. “Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions.” 2017. Thesis, University of Hawaii – Manoa. Accessed February 20, 2018. http://hdl.handle.net/10125/51387.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liang, Lu. “Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions.” 2017. Web. 20 Feb 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 Feb 20]. Available from: http://hdl.handle.net/10125/51387.

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

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

URL: https://scholarworks.umt.edu/etd/573

► 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 (6^{th} 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 (16^{th} Edition):

Hossler, John Zachary. “Inference for High-Dimensional Doubly Multivariate Data under General Conditions.” 2012. Doctoral Dissertation, University of Montana. Accessed February 20, 2018. https://scholarworks.umt.edu/etd/573.

MLA Handbook (7^{th} Edition):

Hossler, John Zachary. “Inference for High-Dimensional Doubly Multivariate Data under General Conditions.” 2012. Web. 20 Feb 2018.

Vancouver:

Hossler JZ. Inference for High-Dimensional Doubly Multivariate Data under General Conditions. [Internet] [Doctoral dissertation]. University of Montana; 2012. [cited 2018 Feb 20]. 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

URL: http://shodhganga.inflibnet.ac.in/handle/10603/24769

►

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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Uma, S. “Analysis of certain nonlinear time series systems using soft computing techniques; -.” 2014. Thesis, Anna University. Accessed February 20, 2018. http://shodhganga.inflibnet.ac.in/handle/10603/24769.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Uma, S. “Analysis of certain nonlinear time series systems using soft computing techniques; -.” 2014. Web. 20 Feb 2018.

Vancouver:

Uma S. Analysis of certain nonlinear time series systems using soft computing techniques; -. [Internet] [Thesis]. Anna University; 2014. [cited 2018 Feb 20]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24769.

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

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

URL: 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

►

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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 February 20, 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 (7^{th} Edition):

Stepanchenko, Anastasia. “GitHub-API-driven clustering with 5-level text mining validation pipeline: R based approach.” 2016. Web. 20 Feb 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 Feb 20]. 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

University of Southern California

14.
Zheng, Zemin.
Feature selection in *high*-dimensional modeling with
thresholded regression.

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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2777

► 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 (6^{th} 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/2777

Chicago Manual of Style (16^{th} Edition):

Zheng, Zemin. “Feature selection in high-dimensional modeling with thresholded regression.” 2015. Doctoral Dissertation, University of Southern California. Accessed February 20, 2018. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2777.

MLA Handbook (7^{th} Edition):

Zheng, Zemin. “Feature selection in high-dimensional modeling with thresholded regression.” 2015. Web. 20 Feb 2018.

Vancouver:

Zheng Z. Feature selection in high-dimensional modeling with thresholded regression. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2018 Feb 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2777.

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/2777

15. 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

URL: http://hdl.handle.net/10183/12014

►

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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 February 20, 2018. http://hdl.handle.net/10183/12014.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liczbinski, Celso Antonio. “Classificação de dados imagens em alta dimensionalidade, empregando amostras semi-rotuladas e estimadores para as probabilidades a priori.” 2007. Web. 20 Feb 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 Feb 20]. Available from: http://hdl.handle.net/10183/12014.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Toronto

16.
Mitry, Mina.
Reduced Order Surrogate Modelling (ROSM) of *High* Dimensional Deterministic Simulations.

Degree: 2014, University of Toronto

URL: http://hdl.handle.net/1807/68047

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.

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

APA (6^{th} 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 (16^{th} Edition):

Mitry, Mina. “Reduced Order Surrogate Modelling (ROSM) of High Dimensional Deterministic Simulations.” 2014. Masters Thesis, University of Toronto. Accessed February 20, 2018. http://hdl.handle.net/1807/68047.

MLA Handbook (7^{th} Edition):

Mitry, Mina. “Reduced Order Surrogate Modelling (ROSM) of High Dimensional Deterministic Simulations.” 2014. Web. 20 Feb 2018.

Vancouver:

Mitry M. Reduced Order Surrogate Modelling (ROSM) of High Dimensional Deterministic Simulations. [Internet] [Masters thesis]. University of Toronto; 2014. [cited 2018 Feb 20]. 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 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

URL: http://scholar.colorado.edu/appm_gradetds/29

► 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 (6^{th} 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 (16^{th} 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 February 20, 2018. http://scholar.colorado.edu/appm_gradetds/29.

MLA Handbook (7^{th} 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. 20 Feb 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 Feb 20]. 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

URL: http://hdl.handle.net/2027.42/113492

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

APA (6^{th} 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 (16^{th} Edition):

Firouzi, Hamed. “High Dimensional Correlation Networks And Their Applications.” 2015. Doctoral Dissertation, University of Michigan. Accessed February 20, 2018. http://hdl.handle.net/2027.42/113492.

MLA Handbook (7^{th} Edition):

Firouzi, Hamed. “High Dimensional Correlation Networks And Their Applications.” 2015. Web. 20 Feb 2018.

Vancouver:

Firouzi H. High Dimensional Correlation Networks And Their Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2018 Feb 20]. 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

URL: http://www.theses.fr/2011PA112297

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 February 20, 2018. http://www.theses.fr/2011PA112297.

MLA Handbook (7^{th} 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. 20 Feb 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 Feb 20]. 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

URL: 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

►

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

APA (6^{th} 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 (16^{th} Edition):

Sirotko-Sibirskaya, Natalia. “Value-at-risk estimation for a high-dimensional portfolio.” 2013. Masters Thesis, Humboldt University of Berlin. Accessed February 20, 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 (7^{th} Edition):

Sirotko-Sibirskaya, Natalia. “Value-at-risk estimation for a high-dimensional portfolio.” 2013. Web. 20 Feb 2018.

Vancouver:

Sirotko-Sibirskaya N. Value-at-risk estimation for a high-dimensional portfolio. [Internet] [Masters thesis]. Humboldt University of Berlin; 2013. [cited 2018 Feb 20]. 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

Euskal Herriko Unibertsitatea / Universidad del País Vasco

21. Basterrechea Oyarzabal, Koldobika. Adaptive Scalable SVD Unit for Fast Processing of Large LSE Problems .

Degree: 2014, Euskal Herriko Unibertsitatea / Universidad del País Vasco

URL: http://hdl.handle.net/10810/13397

► Singular Value Decomposition (SVD) is a key linear algebraic operation in many scientific and engineering applications. In particular, many computational intelligence systems rely on machine…
(more)

Subjects/Keywords: Singular Value Decomposition (SVD); adaptive threshold; selectable accuracy; scalable architecture; Field Programmable Gate Array (FPGA); error regularization; high dimensionality datasets; linear algebraic operation

Record Details Similar Records

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

APA (6^{th} Edition):

Basterrechea Oyarzabal, K. (2014). Adaptive Scalable SVD Unit for Fast Processing of Large LSE Problems . (Thesis). Euskal Herriko Unibertsitatea / Universidad del País Vasco. Retrieved from http://hdl.handle.net/10810/13397

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Basterrechea Oyarzabal, Koldobika. “Adaptive Scalable SVD Unit for Fast Processing of Large LSE Problems .” 2014. Thesis, Euskal Herriko Unibertsitatea / Universidad del País Vasco. Accessed February 20, 2018. http://hdl.handle.net/10810/13397.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Basterrechea Oyarzabal, Koldobika. “Adaptive Scalable SVD Unit for Fast Processing of Large LSE Problems .” 2014. Web. 20 Feb 2018.

Vancouver:

Basterrechea Oyarzabal K. Adaptive Scalable SVD Unit for Fast Processing of Large LSE Problems . [Internet] [Thesis]. Euskal Herriko Unibertsitatea / Universidad del País Vasco; 2014. [cited 2018 Feb 20]. Available from: http://hdl.handle.net/10810/13397.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Basterrechea Oyarzabal K. Adaptive Scalable SVD Unit for Fast Processing of Large LSE Problems . [Thesis]. Euskal Herriko Unibertsitatea / Universidad del País Vasco; 2014. Available from: http://hdl.handle.net/10810/13397

Not specified: Masters Thesis or Doctoral Dissertation

22. 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

URL: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22112011-083653/ ;

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Cordeiro, Robson Leonardo Ferreira. “Data mining in large sets of complex data.” 2011. Doctoral Dissertation, University of São Paulo. Accessed February 20, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22112011-083653/ ;.

MLA Handbook (7^{th} Edition):

Cordeiro, Robson Leonardo Ferreira. “Data mining in large sets of complex data.” 2011. Web. 20 Feb 2018.

Vancouver:

Cordeiro RLF. Data mining in large sets of complex data. [Internet] [Doctoral dissertation]. University of São Paulo; 2011. [cited 2018 Feb 20]. 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/ ;

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

Degree: Biostatistics, 2013, UCLA

URL: http://www.escholarship.org/uc/item/43q2g29b

► 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…

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Shih, Vivian H. “Statistical Methods for Evaluating Relational Structures in Multi-Dimensional Phenotypic Data for Neuropsychiatric Disorders.” 2013. Thesis, UCLA. Accessed February 20, 2018. http://www.escholarship.org/uc/item/43q2g29b.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Shih, Vivian H. “Statistical Methods for Evaluating Relational Structures in Multi-Dimensional Phenotypic Data for Neuropsychiatric Disorders.” 2013. Web. 20 Feb 2018.

Vancouver:

Shih VH. Statistical Methods for Evaluating Relational Structures in Multi-Dimensional Phenotypic Data for Neuropsychiatric Disorders. [Internet] [Thesis]. UCLA; 2013. [cited 2018 Feb 20]. Available from: http://www.escholarship.org/uc/item/43q2g29b.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

24.
Ghodsi Boushehri, Ali.
Nonlinear *Dimensionality* Reduction with
Side Information.

Degree: 2006, University of Waterloo

URL: http://hdl.handle.net/10012/1020

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ghodsi Boushehri, Ali. “Nonlinear Dimensionality Reduction with Side Information.” 2006. Thesis, University of Waterloo. Accessed February 20, 2018. http://hdl.handle.net/10012/1020.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ghodsi Boushehri, Ali. “Nonlinear Dimensionality Reduction with Side Information.” 2006. Web. 20 Feb 2018.

Vancouver:

Ghodsi Boushehri A. Nonlinear Dimensionality Reduction with Side Information. [Internet] [Thesis]. University of Waterloo; 2006. [cited 2018 Feb 20]. Available from: http://hdl.handle.net/10012/1020.

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Degree: PhD, 2012, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp019019s2505

► 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…

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

APA (6^{th} 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 (16^{th} Edition):

Gu, Weijie. “Estimating False Discovery Proportion under Covariance Dependence .” 2012. Doctoral Dissertation, Princeton University. Accessed February 20, 2018. http://arks.princeton.edu/ark:/88435/dsp019019s2505.

MLA Handbook (7^{th} Edition):

Gu, Weijie. “Estimating False Discovery Proportion under Covariance Dependence .” 2012. Web. 20 Feb 2018.

Vancouver:

Gu W. Estimating False Discovery Proportion under Covariance Dependence . [Internet] [Doctoral dissertation]. Princeton University; 2012. [cited 2018 Feb 20]. 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

26. Exterkate, Peter. Of Needles and Haystacks: Novel Techniques for Data-Rich Economic Forecasting Data-Rich Economic Forecasting.

Degree: 2011, Erasmus School of Economics

URL: http://hdl.handle.net/1765/30794

► textabstractThis thesis discusses various novel techniques for economic forecasting. The focus is on methods that exploit the information in large data sets effectively. Each of…
(more)

Subjects/Keywords: kernel methods; data sets; dimension reduction; econometrics; high dimensionality; macoeconomic economic forecasting; nonlinear techniques; outliers; shrinkage estimation; yield curve prediction

…that is known as the curse of *dimensionality*. Searching through bigger and bigger haystacks… …*high*-quality forecasts.
In particular, Chapter 4, based on Exterkate, Groenen, Heij, and van… …regression, the observed predictor variables are
mapped nonlinearly into a *high*-dimensional space… …constructing factors (Chapters 2 and 3) or estimating *high*-dimensional nonlinear models… …value for w. The *high*-dimensional nature of X leads to overfitting if w is
chosen too large…

Record Details Similar Records

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

APA (6^{th} Edition):

Exterkate, P. (2011). Of Needles and Haystacks: Novel Techniques for Data-Rich Economic Forecasting Data-Rich Economic Forecasting. (Doctoral Dissertation). Erasmus School of Economics. Retrieved from http://hdl.handle.net/1765/30794

Chicago Manual of Style (16^{th} Edition):

Exterkate, Peter. “Of Needles and Haystacks: Novel Techniques for Data-Rich Economic Forecasting Data-Rich Economic Forecasting.” 2011. Doctoral Dissertation, Erasmus School of Economics. Accessed February 20, 2018. http://hdl.handle.net/1765/30794.

MLA Handbook (7^{th} Edition):

Exterkate, Peter. “Of Needles and Haystacks: Novel Techniques for Data-Rich Economic Forecasting Data-Rich Economic Forecasting.” 2011. Web. 20 Feb 2018.

Vancouver:

Exterkate P. Of Needles and Haystacks: Novel Techniques for Data-Rich Economic Forecasting Data-Rich Economic Forecasting. [Internet] [Doctoral dissertation]. Erasmus School of Economics; 2011. [cited 2018 Feb 20]. Available from: http://hdl.handle.net/1765/30794.

Council of Science Editors:

Exterkate P. Of Needles and Haystacks: Novel Techniques for Data-Rich Economic Forecasting Data-Rich Economic Forecasting. [Doctoral Dissertation]. Erasmus School of Economics; 2011. Available from: http://hdl.handle.net/1765/30794

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

Degree: 2015, Humboldt University of Berlin

URL: 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

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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 (6^{th} 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 (16^{th} Edition):

Bykovskaya, Svetlana. “Portfolio selection in case of high dimensionality.” 2015. Masters Thesis, Humboldt University of Berlin. Accessed February 20, 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 (7^{th} Edition):

Bykovskaya, Svetlana. “Portfolio selection in case of high dimensionality.” 2015. Web. 20 Feb 2018.

Vancouver:

Bykovskaya S. Portfolio selection in case of high dimensionality. [Internet] [Masters thesis]. Humboldt University of Berlin; 2015. [cited 2018 Feb 20]. 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

URL: 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

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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 (6^{th} 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 (16^{th} Edition):

Kleist, Caroline. “Time series data mining methods.” 2015. Masters Thesis, Humboldt University of Berlin. Accessed February 20, 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 (7^{th} Edition):

Kleist, Caroline. “Time series data mining methods.” 2015. Web. 20 Feb 2018.

Vancouver:

Kleist C. Time series data mining methods. [Internet] [Masters thesis]. Humboldt University of Berlin; 2015. [cited 2018 Feb 20]. 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)

URL: http://hdl.handle.net/10442/hedi/39515

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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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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 February 20, 2018. http://hdl.handle.net/10442/hedi/39515.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ferles, Christos. “Υβριδικό πιθανοτικό δίκτυο μη επιβλεπόμενης μάθησης για την ανάλυση ακολουθιών συμβόλων και βιολογικών αλληλουχιών.” 2014. Web. 20 Feb 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 Feb 20]. Available from: http://hdl.handle.net/10442/hedi/39515.

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

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

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8118

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Tsang, Jeffrey. “The Structure of the Space of All Game-Playing Strategies .” 2014. Thesis, University of Guelph. Accessed February 20, 2018. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8118.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tsang, Jeffrey. “The Structure of the Space of All Game-Playing Strategies .” 2014. Web. 20 Feb 2018.

Vancouver:

Tsang J. The Structure of the Space of All Game-Playing Strategies . [Internet] [Thesis]. University of Guelph; 2014. [cited 2018 Feb 20]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8118.

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

Not specified: Masters Thesis or Doctoral Dissertation