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131 total matches.

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Dates

- 2015 – 2019 (58)
- 2010 – 2014 (56)
- 2005 – 2009 (16)

Department

- Computer Science (10)
- Statistics (10)

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University of Alberta

1. Sen, Abhishek. Hand Tracking by Fusion of Color and a Range Sensor.

Degree: MS, Department of Computing Science, 2012, University of Alberta

URL: https://era.library.ualberta.ca/files/pv63g128r

► In this work we have developed a decentralized algorithm for efficient localization and tracking of hands from a sequence of depth and colour images. We…
(more)

Subjects/Keywords: hand tracking; graphical model

Record Details Similar Records

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

APA (6^{th} Edition):

Sen, A. (2012). Hand Tracking by Fusion of Color and a Range Sensor. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/pv63g128r

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

Sen, Abhishek. “Hand Tracking by Fusion of Color and a Range Sensor.” 2012. Masters Thesis, University of Alberta. Accessed March 25, 2019. https://era.library.ualberta.ca/files/pv63g128r.

MLA Handbook (7^{th} Edition):

Sen, Abhishek. “Hand Tracking by Fusion of Color and a Range Sensor.” 2012. Web. 25 Mar 2019.

Vancouver:

Sen A. Hand Tracking by Fusion of Color and a Range Sensor. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2019 Mar 25]. Available from: https://era.library.ualberta.ca/files/pv63g128r.

Council of Science Editors:

Sen A. Hand Tracking by Fusion of Color and a Range Sensor. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/pv63g128r

University of Rochester

2. LaCombe, Jason R. Non-Informative Priors for Structural Inference in Bayesian Networks.

Degree: PhD, 2011, University of Rochester

URL: http://hdl.handle.net/1802/15981

► A fundamental problem in multivariate statistics is the determination of dependency relationships among random variables. Bayesian networks equate the dependency properties of the considered variables…
(more)

Subjects/Keywords: Bayesian-Networks; Model-Selection; Prior Graphical Model

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

APA (6^{th} Edition):

LaCombe, J. R. (2011). Non-Informative Priors for Structural Inference in Bayesian Networks. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/15981

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

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Doctoral Dissertation, University of Rochester. Accessed March 25, 2019. http://hdl.handle.net/1802/15981.

MLA Handbook (7^{th} Edition):

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Web. 25 Mar 2019.

Vancouver:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1802/15981.

Council of Science Editors:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Doctoral Dissertation]. University of Rochester; 2011. Available from: http://hdl.handle.net/1802/15981

Boston University

3. Kang, Xinyu. Statistical methods for topology inference, denoising, and bootstrapping in networks.

Degree: PhD, Mathematics & Statistics, 2018, Boston University

URL: http://hdl.handle.net/2144/33117

► Quite often, the data we observe can be effectively represented using graphs. The underlying structure of the resulting graph, however, might contain noise and does…
(more)

Subjects/Keywords: Statistics; Network; Graphical model; Multiscale modeling

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

APA (6^{th} Edition):

Kang, X. (2018). Statistical methods for topology inference, denoising, and bootstrapping in networks. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/33117

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

Kang, Xinyu. “Statistical methods for topology inference, denoising, and bootstrapping in networks.” 2018. Doctoral Dissertation, Boston University. Accessed March 25, 2019. http://hdl.handle.net/2144/33117.

MLA Handbook (7^{th} Edition):

Kang, Xinyu. “Statistical methods for topology inference, denoising, and bootstrapping in networks.” 2018. Web. 25 Mar 2019.

Vancouver:

Kang X. Statistical methods for topology inference, denoising, and bootstrapping in networks. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/2144/33117.

Council of Science Editors:

Kang X. Statistical methods for topology inference, denoising, and bootstrapping in networks. [Doctoral Dissertation]. Boston University; 2018. Available from: http://hdl.handle.net/2144/33117

University of New South Wales

4.
Liu, Xianghang.
New Algorithms for *Graphical* Models and Their Applications in Learning.

Degree: Computer Science & Engineering, 2015, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true

► Probabilistic *graphical* models bring together graph theory and probability theory in a powerful formalism for multivariate statistical modelling. Since many machine learning problems involve the…
(more)

Subjects/Keywords: statistical inference; machine learning; graphical model

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

APA (6^{th} Edition):

Liu, X. (2015). New Algorithms for Graphical Models and Their Applications in Learning. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true

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

Liu, Xianghang. “New Algorithms for Graphical Models and Their Applications in Learning.” 2015. Doctoral Dissertation, University of New South Wales. Accessed March 25, 2019. http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Liu, Xianghang. “New Algorithms for Graphical Models and Their Applications in Learning.” 2015. Web. 25 Mar 2019.

Vancouver:

Liu X. New Algorithms for Graphical Models and Their Applications in Learning. [Internet] [Doctoral dissertation]. University of New South Wales; 2015. [cited 2019 Mar 25]. Available from: http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true.

Council of Science Editors:

Liu X. New Algorithms for Graphical Models and Their Applications in Learning. [Doctoral Dissertation]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true

University of Missouri – Columbia

5. Liang, Ye. Bayesian methods on selected topics.

Degree: 2012, University of Missouri – Columbia

URL: http://hdl.handle.net/10355/15884

► Bayesian methods are widely adopted nowadays in statistical analysis. It is especially useful for the statistical inference of complex models or hierarchical models, for which…
(more)

Subjects/Keywords: Bayesian statistics; spatial statistics; epidemiology; graphical model

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

APA (6^{th} Edition):

Liang, Y. (2012). Bayesian methods on selected topics. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/15884

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):

Liang, Ye. “Bayesian methods on selected topics.” 2012. Thesis, University of Missouri – Columbia. Accessed March 25, 2019. http://hdl.handle.net/10355/15884.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liang, Ye. “Bayesian methods on selected topics.” 2012. Web. 25 Mar 2019.

Vancouver:

Liang Y. Bayesian methods on selected topics. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10355/15884.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liang Y. Bayesian methods on selected topics. [Thesis]. University of Missouri – Columbia; 2012. Available from: http://hdl.handle.net/10355/15884

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Irvine

6.
Ping, Wei.
Learning and Inference in Latent Variable *Graphical* Models.

Degree: Computer Science, 2016, University of California – Irvine

URL: http://www.escholarship.org/uc/item/7q90z4b5

► Probabilistic *graphical* models such as Markov random fields provide a powerful framework and tools for machine learning, especially for structured output learning. Latent variables naturally…
(more)

Subjects/Keywords: Computer science; Dual-decomposition; Graphical Model; Latent Variable Model; Structured SVM

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

APA (6^{th} Edition):

Ping, W. (2016). Learning and Inference in Latent Variable Graphical Models. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/7q90z4b5

Not specified: Masters Thesis or Doctoral Dissertation

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

Ping, Wei. “Learning and Inference in Latent Variable Graphical Models.” 2016. Thesis, University of California – Irvine. Accessed March 25, 2019. http://www.escholarship.org/uc/item/7q90z4b5.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ping, Wei. “Learning and Inference in Latent Variable Graphical Models.” 2016. Web. 25 Mar 2019.

Vancouver:

Ping W. Learning and Inference in Latent Variable Graphical Models. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2019 Mar 25]. Available from: http://www.escholarship.org/uc/item/7q90z4b5.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ping W. Learning and Inference in Latent Variable Graphical Models. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/7q90z4b5

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

7.
Princz, Daniel.
The CRANE Framework for Simulation *Model* Workflows.

Degree: 2016, University of Waterloo

URL: http://hdl.handle.net/10012/10230

► CRANE is presented as a flexible framework for linking simulation models and *model* support tools to form integrated modelling systems for engineering and scientific applications,…
(more)

Subjects/Keywords: model calibration; parameter estimation; graphical user interface; simulation model workflow; model-independent software

Record Details Similar Records

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

APA (6^{th} Edition):

Princz, D. (2016). The CRANE Framework for Simulation Model Workflows. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10230

Not specified: Masters Thesis or Doctoral Dissertation

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

Princz, Daniel. “The CRANE Framework for Simulation Model Workflows.” 2016. Thesis, University of Waterloo. Accessed March 25, 2019. http://hdl.handle.net/10012/10230.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Princz, Daniel. “The CRANE Framework for Simulation Model Workflows.” 2016. Web. 25 Mar 2019.

Vancouver:

Princz D. The CRANE Framework for Simulation Model Workflows. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10012/10230.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Princz D. The CRANE Framework for Simulation Model Workflows. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10230

Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

8. Eastman, Thomas. A disease classifier for metabolic profiles based on metabolic pathway knowledge.

Degree: MS, Department of Computing Science, 2010, University of Alberta

URL: https://era.library.ualberta.ca/files/fx719n29m

► This thesis presents Pathway Informed Analysis (PIA), a classification method for predicting disease states (diagnosis) from metabolic profile measurements that incorporates biological knowledge in the…
(more)

Subjects/Keywords: metabolic profile; cachexia; graphical model; machine learning; metabolic pathway

Record Details Similar Records

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

APA (6^{th} Edition):

Eastman, T. (2010). A disease classifier for metabolic profiles based on metabolic pathway knowledge. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/fx719n29m

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

Eastman, Thomas. “A disease classifier for metabolic profiles based on metabolic pathway knowledge.” 2010. Masters Thesis, University of Alberta. Accessed March 25, 2019. https://era.library.ualberta.ca/files/fx719n29m.

MLA Handbook (7^{th} Edition):

Eastman, Thomas. “A disease classifier for metabolic profiles based on metabolic pathway knowledge.” 2010. Web. 25 Mar 2019.

Vancouver:

Eastman T. A disease classifier for metabolic profiles based on metabolic pathway knowledge. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2019 Mar 25]. Available from: https://era.library.ualberta.ca/files/fx719n29m.

Council of Science Editors:

Eastman T. A disease classifier for metabolic profiles based on metabolic pathway knowledge. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/fx719n29m

University of Alberta

9.
Zhu, Yunan.
Estimating Sparse *Graphical* Models: Insights Through
Simulation.

Degree: MS, Department of Mathematical and Statistical Sciences, 2015, University of Alberta

URL: https://era.library.ualberta.ca/files/4j03d241c

► *Graphical* models are frequently used to explore networks among a set of variables. Several methods for estimating sparse graphs have been proposed and their theoretical…
(more)

Subjects/Keywords: bootstrap; penalized log-likelihood; graphical model; glasso; estimate evaluation

Record Details Similar Records

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

APA (6^{th} Edition):

Zhu, Y. (2015). Estimating Sparse Graphical Models: Insights Through Simulation. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/4j03d241c

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

Zhu, Yunan. “Estimating Sparse Graphical Models: Insights Through Simulation.” 2015. Masters Thesis, University of Alberta. Accessed March 25, 2019. https://era.library.ualberta.ca/files/4j03d241c.

MLA Handbook (7^{th} Edition):

Zhu, Yunan. “Estimating Sparse Graphical Models: Insights Through Simulation.” 2015. Web. 25 Mar 2019.

Vancouver:

Zhu Y. Estimating Sparse Graphical Models: Insights Through Simulation. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Mar 25]. Available from: https://era.library.ualberta.ca/files/4j03d241c.

Council of Science Editors:

Zhu Y. Estimating Sparse Graphical Models: Insights Through Simulation. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/4j03d241c

University of Adelaide

10. Wang, Zhenhua. Markov random fields with unknown heterogeneous graphs.

Degree: 2014, University of Adelaide

URL: http://hdl.handle.net/2440/98246

► Markov Random Fields have been widely used in computer vision problems, for example image denoising, segmentation and human action recognition. The structure of the graph…
(more)

Subjects/Keywords: structured learning; Probablistic Graphical Model; Markov Random Field; unknown graph

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, Z. (2014). Markov random fields with unknown heterogeneous graphs. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/98246

Not specified: Masters Thesis or Doctoral Dissertation

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

Wang, Zhenhua. “Markov random fields with unknown heterogeneous graphs.” 2014. Thesis, University of Adelaide. Accessed March 25, 2019. http://hdl.handle.net/2440/98246.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Zhenhua. “Markov random fields with unknown heterogeneous graphs.” 2014. Web. 25 Mar 2019.

Vancouver:

Wang Z. Markov random fields with unknown heterogeneous graphs. [Internet] [Thesis]. University of Adelaide; 2014. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/2440/98246.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Z. Markov random fields with unknown heterogeneous graphs. [Thesis]. University of Adelaide; 2014. Available from: http://hdl.handle.net/2440/98246

Not specified: Masters Thesis or Doctoral Dissertation

Michigan Technological University

11.
Shi, Lufeng.
USING PROBABILISTIC *GRAPHICAL* MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS.

Degree: PhD, Department of Electrical and Computer Engineering, 2014, Michigan Technological University

URL: http://digitalcommons.mtu.edu/etds/752

► Sensor networks have been an active research area in the past decade due to the variety of their applications. Many research studies have been…
(more)

Subjects/Keywords: Graphical Model; Statistical Inference; Target Tracking; Wireless Sensor Network; Computer Engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Shi, L. (2014). USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS. (Doctoral Dissertation). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etds/752

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

Shi, Lufeng. “USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS.” 2014. Doctoral Dissertation, Michigan Technological University. Accessed March 25, 2019. http://digitalcommons.mtu.edu/etds/752.

MLA Handbook (7^{th} Edition):

Shi, Lufeng. “USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS.” 2014. Web. 25 Mar 2019.

Vancouver:

Shi L. USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS. [Internet] [Doctoral dissertation]. Michigan Technological University; 2014. [cited 2019 Mar 25]. Available from: http://digitalcommons.mtu.edu/etds/752.

Council of Science Editors:

Shi L. USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS. [Doctoral Dissertation]. Michigan Technological University; 2014. Available from: http://digitalcommons.mtu.edu/etds/752

Penn State University

12. Park, Minwoo. EFFICIENT MEAN-SHIFT BELIEF PROPAGATION.

Degree: PhD, Computer Science and Engineering, 2010, Penn State University

URL: https://etda.libraries.psu.edu/catalog/11156

► Probabilistic *graphical* models (PGMs) are widely used in many areas of computer vision and machine learning. Since classic belief propagation is not suitable for a…
(more)

Subjects/Keywords: MRF; Inference; Graphical Model; Belief Propagation; Computer Vision

Record Details Similar Records

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

APA (6^{th} Edition):

Park, M. (2010). EFFICIENT MEAN-SHIFT BELIEF PROPAGATION. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11156

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

Park, Minwoo. “EFFICIENT MEAN-SHIFT BELIEF PROPAGATION.” 2010. Doctoral Dissertation, Penn State University. Accessed March 25, 2019. https://etda.libraries.psu.edu/catalog/11156.

MLA Handbook (7^{th} Edition):

Park, Minwoo. “EFFICIENT MEAN-SHIFT BELIEF PROPAGATION.” 2010. Web. 25 Mar 2019.

Vancouver:

Park M. EFFICIENT MEAN-SHIFT BELIEF PROPAGATION. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Mar 25]. Available from: https://etda.libraries.psu.edu/catalog/11156.

Council of Science Editors:

Park M. EFFICIENT MEAN-SHIFT BELIEF PROPAGATION. [Doctoral Dissertation]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/11156

University of Georgia

13.
Sulek, Thaddeus Robert.
An application of *graphical* models to fMRI data using the lasso penalty.

Degree: MS, Statistics, 2017, University of Georgia

URL: http://hdl.handle.net/10724/37188

► In this thesis, we study the *graphical* lasso method and apply it to functional magnetic resonance imaging (fMRI) data. The *graphical* lasso method enables one…
(more)

Subjects/Keywords: Functional Magnetic Resonance Imaging Data; Graphical Model; Lasso; Regions of Interest

Record Details Similar Records

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

APA (6^{th} Edition):

Sulek, T. R. (2017). An application of graphical models to fMRI data using the lasso penalty. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37188

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

Sulek, Thaddeus Robert. “An application of graphical models to fMRI data using the lasso penalty.” 2017. Masters Thesis, University of Georgia. Accessed March 25, 2019. http://hdl.handle.net/10724/37188.

MLA Handbook (7^{th} Edition):

Sulek, Thaddeus Robert. “An application of graphical models to fMRI data using the lasso penalty.” 2017. Web. 25 Mar 2019.

Vancouver:

Sulek TR. An application of graphical models to fMRI data using the lasso penalty. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10724/37188.

Council of Science Editors:

Sulek TR. An application of graphical models to fMRI data using the lasso penalty. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37188

University of Georgia

14.
Sulek, Thaddeus Robert.
An application of *graphical* models to fMRI data using the lasso penalty.

Degree: MS, Statistics, 2017, University of Georgia

URL: http://hdl.handle.net/10724/37031

► In this thesis, we study the *graphical* lasso method and apply it to functional magnetic resonance imaging (fMRI) data. The *graphical* lasso method enables one…
(more)

Subjects/Keywords: Functional Magnetic Resonance Imaging Data; Graphical Model; Lasso; Regions of Interest

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Sulek, T. R. (2017). An application of graphical models to fMRI data using the lasso penalty. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37031

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

Sulek, Thaddeus Robert. “An application of graphical models to fMRI data using the lasso penalty.” 2017. Masters Thesis, University of Georgia. Accessed March 25, 2019. http://hdl.handle.net/10724/37031.

MLA Handbook (7^{th} Edition):

Sulek, Thaddeus Robert. “An application of graphical models to fMRI data using the lasso penalty.” 2017. Web. 25 Mar 2019.

Vancouver:

Sulek TR. An application of graphical models to fMRI data using the lasso penalty. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10724/37031.

Council of Science Editors:

Sulek TR. An application of graphical models to fMRI data using the lasso penalty. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37031

Carnegie Mellon University

15. Wytock, Matt. Optimizing Optimization: Scalable Convex Programming with Proximal Operators.

Degree: 2016, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/785

► Convex optimization has developed a wide variety of useful tools critical to many applications in machine learning. However, unlike linear and quadratic programming, general convex…
(more)

Subjects/Keywords: convex optimization; proximal operator; operator splitting; Newton method; sparsity; graphical model

Record Details Similar Records

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

APA (6^{th} Edition):

Wytock, M. (2016). Optimizing Optimization: Scalable Convex Programming with Proximal Operators. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/785

Not specified: Masters Thesis or Doctoral Dissertation

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

Wytock, Matt. “Optimizing Optimization: Scalable Convex Programming with Proximal Operators.” 2016. Thesis, Carnegie Mellon University. Accessed March 25, 2019. http://repository.cmu.edu/dissertations/785.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wytock, Matt. “Optimizing Optimization: Scalable Convex Programming with Proximal Operators.” 2016. Web. 25 Mar 2019.

Vancouver:

Wytock M. Optimizing Optimization: Scalable Convex Programming with Proximal Operators. [Internet] [Thesis]. Carnegie Mellon University; 2016. [cited 2019 Mar 25]. Available from: http://repository.cmu.edu/dissertations/785.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wytock M. Optimizing Optimization: Scalable Convex Programming with Proximal Operators. [Thesis]. Carnegie Mellon University; 2016. Available from: http://repository.cmu.edu/dissertations/785

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

16. Kao, Wei-Chun. Algorithms for Next-Generation High-Throughput Sequencing Technologies.

Degree: Electrical Engineering & Computer Sciences, 2011, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/86b9c87d

► Recent advances of DNA sequencing technologies are allowingresearchers to generateimmense amounts of data in a fast and cost effective fashion, enablinggenome-wide association study and populationgenetic…
(more)

Subjects/Keywords: Computer science; Bioinformatics; Graphical Model; Illumina; Sequencing; Signal processing

Record Details Similar Records

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

APA (6^{th} Edition):

Kao, W. (2011). Algorithms for Next-Generation High-Throughput Sequencing Technologies. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/86b9c87d

Not specified: Masters Thesis or Doctoral Dissertation

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

Kao, Wei-Chun. “Algorithms for Next-Generation High-Throughput Sequencing Technologies.” 2011. Thesis, University of California – Berkeley. Accessed March 25, 2019. http://www.escholarship.org/uc/item/86b9c87d.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kao, Wei-Chun. “Algorithms for Next-Generation High-Throughput Sequencing Technologies.” 2011. Web. 25 Mar 2019.

Vancouver:

Kao W. Algorithms for Next-Generation High-Throughput Sequencing Technologies. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2019 Mar 25]. Available from: http://www.escholarship.org/uc/item/86b9c87d.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kao W. Algorithms for Next-Generation High-Throughput Sequencing Technologies. [Thesis]. University of California – Berkeley; 2011. Available from: http://www.escholarship.org/uc/item/86b9c87d

Not specified: Masters Thesis or Doctoral Dissertation

University of Washington

17.
Li, Zehang.
Bayesian Methods for *Graphical* Models with Limited Data.

Degree: PhD, 2018, University of Washington

URL: http://hdl.handle.net/1773/43158

► Scientific studies in many fields involve understanding and characterizing dependence relationships among large numbers of variables. This can be challenging in settings where data is…
(more)

Subjects/Keywords: Bayesian methods; Graphical model; Spike-and-slab; Verbal Autopsy; Statistics; Statistics

Record Details Similar Records

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

APA (6^{th} Edition):

Li, Z. (2018). Bayesian Methods for Graphical Models with Limited Data. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43158

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

Li, Zehang. “Bayesian Methods for Graphical Models with Limited Data.” 2018. Doctoral Dissertation, University of Washington. Accessed March 25, 2019. http://hdl.handle.net/1773/43158.

MLA Handbook (7^{th} Edition):

Li, Zehang. “Bayesian Methods for Graphical Models with Limited Data.” 2018. Web. 25 Mar 2019.

Vancouver:

Li Z. Bayesian Methods for Graphical Models with Limited Data. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1773/43158.

Council of Science Editors:

Li Z. Bayesian Methods for Graphical Models with Limited Data. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/43158

University of Cambridge

18. Pacini, Clare. Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii.

Degree: PhD, 2017, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/269711 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325

► Modelling interactions between genes and their regulators is fundamental to understanding how, for example a disease progresses, or the impact of inserting a synthetic circuit…
(more)

Subjects/Keywords: Gaussian graphical model; Regulatory network; Small sample sizes

Record Details Similar Records

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

APA (6^{th} Edition):

Pacini, C. (2017). Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/269711 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325

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

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii.” 2017. Doctoral Dissertation, University of Cambridge. Accessed March 25, 2019. https://www.repository.cam.ac.uk/handle/1810/269711 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325.

MLA Handbook (7^{th} Edition):

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii.” 2017. Web. 25 Mar 2019.

Vancouver:

Pacini C. Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2019 Mar 25]. Available from: https://www.repository.cam.ac.uk/handle/1810/269711 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325.

Council of Science Editors:

Pacini C. Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/269711 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325

Oklahoma State University

19. Ding, Yi. Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches.

Degree: School of Electrical & Computer Engineering, 2010, Oklahoma State University

URL: http://hdl.handle.net/11244/7854

► With the development of multimedia and internet technologies, there is a growing interest in video mining research that is to discover knowledge existing in the…
(more)

Subjects/Keywords: discriminative; generative; graphical model; machine learning; sports video; video mining

Record Details Similar Records

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

APA (6^{th} Edition):

Ding, Y. (2010). Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/7854

Not specified: Masters Thesis or Doctoral Dissertation

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

Ding, Yi. “Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches.” 2010. Thesis, Oklahoma State University. Accessed March 25, 2019. http://hdl.handle.net/11244/7854.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ding, Yi. “Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches.” 2010. Web. 25 Mar 2019.

Vancouver:

Ding Y. Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/11244/7854.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ding Y. Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches. [Thesis]. Oklahoma State University; 2010. Available from: http://hdl.handle.net/11244/7854

Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

20. Pacini, Clare. Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii .

Degree: 2017, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/269711

► Modelling interactions between genes and their regulators is fundamental to understanding how, for example a disease progresses, or the impact of inserting a synthetic circuit…
(more)

Subjects/Keywords: Gaussian graphical model; Regulatory network; Small sample sizes

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Pacini, C. (2017). Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/269711

Not specified: Masters Thesis or Doctoral Dissertation

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

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii .” 2017. Thesis, University of Cambridge. Accessed March 25, 2019. https://www.repository.cam.ac.uk/handle/1810/269711.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii .” 2017. Web. 25 Mar 2019.

Vancouver:

Pacini C. Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii . [Internet] [Thesis]. University of Cambridge; 2017. [cited 2019 Mar 25]. Available from: https://www.repository.cam.ac.uk/handle/1810/269711.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pacini C. Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii . [Thesis]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/269711

Not specified: Masters Thesis or Doctoral Dissertation

University of Toronto

21. Yeo, Alexia. COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS.

Degree: 2018, University of Toronto

URL: http://hdl.handle.net/1807/89580

►

Portfolio optimization aims to find the optimal investment strategy for a series of assets that results in a minimization of the portfolio's variance. Real life… (more)

Subjects/Keywords: Mixed Integer Programming; Portfolio Optimization; Probabilistic Graphical Model; 0796

Record Details Similar Records

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

APA (6^{th} Edition):

Yeo, A. (2018). COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/89580

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

Yeo, Alexia. “COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS.” 2018. Masters Thesis, University of Toronto. Accessed March 25, 2019. http://hdl.handle.net/1807/89580.

MLA Handbook (7^{th} Edition):

Yeo, Alexia. “COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS.” 2018. Web. 25 Mar 2019.

Vancouver:

Yeo A. COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1807/89580.

Council of Science Editors:

Yeo A. COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/89580

ETH Zürich

22.
Perković, Emilija.
* Graphical* characterizations of adjustment sets.

Degree: 2018, ETH Zürich

URL: http://hdl.handle.net/20.500.11850/281392

Subjects/Keywords: Causal inference; Graphical model

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Perković, E. (2018). Graphical characterizations of adjustment sets. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/281392

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

Perković, Emilija. “Graphical characterizations of adjustment sets.” 2018. Doctoral Dissertation, ETH Zürich. Accessed March 25, 2019. http://hdl.handle.net/20.500.11850/281392.

MLA Handbook (7^{th} Edition):

Perković, Emilija. “Graphical characterizations of adjustment sets.” 2018. Web. 25 Mar 2019.

Vancouver:

Perković E. Graphical characterizations of adjustment sets. [Internet] [Doctoral dissertation]. ETH Zürich; 2018. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/20.500.11850/281392.

Council of Science Editors:

Perković E. Graphical characterizations of adjustment sets. [Doctoral Dissertation]. ETH Zürich; 2018. Available from: http://hdl.handle.net/20.500.11850/281392

University of Minnesota

23.
Fu, Qiang.
Efficient inference algorithms for some probabilistic *graphical* models.

Degree: PhD, Computer science, 2014, University of Minnesota

URL: http://hdl.handle.net/11299/162960

► The probabilistic *graphical* *model* framework provides an essential tool to reason coherently from limited and noisy observations. The framework has been used in an enormous…
(more)

Subjects/Keywords: Bayesian network; Graphical model; MAP inference; Markov random field; Overlapping; Clustering

Record Details Similar Records

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

APA (6^{th} Edition):

Fu, Q. (2014). Efficient inference algorithms for some probabilistic graphical models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/162960

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

Fu, Qiang. “Efficient inference algorithms for some probabilistic graphical models.” 2014. Doctoral Dissertation, University of Minnesota. Accessed March 25, 2019. http://hdl.handle.net/11299/162960.

MLA Handbook (7^{th} Edition):

Fu, Qiang. “Efficient inference algorithms for some probabilistic graphical models.” 2014. Web. 25 Mar 2019.

Vancouver:

Fu Q. Efficient inference algorithms for some probabilistic graphical models. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/11299/162960.

Council of Science Editors:

Fu Q. Efficient inference algorithms for some probabilistic graphical models. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/162960

Virginia Tech

24.
Shan, Liang.
Joint Gaussian *Graphical* *Model* for multi-class and multi-level data.

Degree: PhD, Statistics, 2016, Virginia Tech

URL: http://hdl.handle.net/10919/81412

► Gaussian *graphical* *model* has been a popular tool to investigate conditional dependency between random variables by estimating sparse precision matrices. The estimated precision matrices could…
(more)

Subjects/Keywords: Bias Correction; Gaussian graphical model; Heterogeneous classes; Joint adaptive graphical lasso; Joint estimation; Multilevel network; Precision matrix; Unbalanced multi-class.

Record Details Similar Records

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

APA (6^{th} Edition):

Shan, L. (2016). Joint Gaussian Graphical Model for multi-class and multi-level data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81412

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

Shan, Liang. “Joint Gaussian Graphical Model for multi-class and multi-level data.” 2016. Doctoral Dissertation, Virginia Tech. Accessed March 25, 2019. http://hdl.handle.net/10919/81412.

MLA Handbook (7^{th} Edition):

Shan, Liang. “Joint Gaussian Graphical Model for multi-class and multi-level data.” 2016. Web. 25 Mar 2019.

Vancouver:

Shan L. Joint Gaussian Graphical Model for multi-class and multi-level data. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10919/81412.

Council of Science Editors:

Shan L. Joint Gaussian Graphical Model for multi-class and multi-level data. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/81412

University of Washington

25. Zheng, Jinyang. Understanding Online Two-sided Market: An Empirical Perspective.

Degree: PhD, 2017, University of Washington

URL: http://hdl.handle.net/1773/40451

► This dissertation provides a comprehensive investigation of online two-sided markets from empirical perspective. The four essays included propose research questions from four different angles and…
(more)

Subjects/Keywords: Graphical model; Online two-sided market; Structural model; Information technology; Business administration; To Be Assigned

Record Details Similar Records

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

APA (6^{th} Edition):

Zheng, J. (2017). Understanding Online Two-sided Market: An Empirical Perspective. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40451

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

Zheng, Jinyang. “Understanding Online Two-sided Market: An Empirical Perspective.” 2017. Doctoral Dissertation, University of Washington. Accessed March 25, 2019. http://hdl.handle.net/1773/40451.

MLA Handbook (7^{th} Edition):

Zheng, Jinyang. “Understanding Online Two-sided Market: An Empirical Perspective.” 2017. Web. 25 Mar 2019.

Vancouver:

Zheng J. Understanding Online Two-sided Market: An Empirical Perspective. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1773/40451.

Council of Science Editors:

Zheng J. Understanding Online Two-sided Market: An Empirical Perspective. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/40451

University of Washington

26.
McDavid, Andrew.
Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and *Graphical* Modeling.

Degree: PhD, 2016, University of Washington

URL: http://hdl.handle.net/1773/36846

► This dissertation describes a set of statistical methods developed for analysis of single cell gene expression. A characteristic of single cell expression is bimodal expression,…
(more)

Subjects/Keywords: gene expression; graphical model; hurdle model; RNA sequencing; single cell; zero-inflated; Biostatistics; statistics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

McDavid, A. (2016). Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/36846

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

McDavid, Andrew. “Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling.” 2016. Doctoral Dissertation, University of Washington. Accessed March 25, 2019. http://hdl.handle.net/1773/36846.

MLA Handbook (7^{th} Edition):

McDavid, Andrew. “Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling.” 2016. Web. 25 Mar 2019.

Vancouver:

McDavid A. Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling. [Internet] [Doctoral dissertation]. University of Washington; 2016. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1773/36846.

Council of Science Editors:

McDavid A. Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling. [Doctoral Dissertation]. University of Washington; 2016. Available from: http://hdl.handle.net/1773/36846

University of Minnesota

27.
Xue, Lingzhou.
Regularized Learning of High-dimensional Sparse *Graphical* Models.

Degree: PhD, 2012, University of Minnesota

URL: http://hdl.handle.net/11299/165775

► High-dimensional *graphical* models are important tools for characterizing complex interactions within a large-scale system. In this thesis, our emphasis is to utilize the increasingly popular…
(more)

Subjects/Keywords: Composite Likelihood; Gaussian Copula; High-dimensional Graphical Model; Ising Model; Nonparametric Correlation; Regularization

Record Details Similar Records

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

APA (6^{th} Edition):

Xue, L. (2012). Regularized Learning of High-dimensional Sparse Graphical Models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/165775

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

Xue, Lingzhou. “Regularized Learning of High-dimensional Sparse Graphical Models.” 2012. Doctoral Dissertation, University of Minnesota. Accessed March 25, 2019. http://hdl.handle.net/11299/165775.

MLA Handbook (7^{th} Edition):

Xue, Lingzhou. “Regularized Learning of High-dimensional Sparse Graphical Models.” 2012. Web. 25 Mar 2019.

Vancouver:

Xue L. Regularized Learning of High-dimensional Sparse Graphical Models. [Internet] [Doctoral dissertation]. University of Minnesota; 2012. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/11299/165775.

Council of Science Editors:

Xue L. Regularized Learning of High-dimensional Sparse Graphical Models. [Doctoral Dissertation]. University of Minnesota; 2012. Available from: http://hdl.handle.net/11299/165775

Brno University of Technology

28. Hraboš, Martin. Simulátor robotického pracoviště .

Degree: 2013, Brno University of Technology

URL: http://hdl.handle.net/11012/54934

► Tato práce se zabýva návrhem a implementací aplikace pro simulaci robotického ramene. Jedná se o skutečný *model* robota, který je umístněný ve Fakulte informačních technologií…
(more)

Subjects/Keywords: simulace; robotika; model; grafické rozhraní; OpenRAVE; Qt; simulation; robotics; model; graphical interface; OpenRAVE; Qt

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Hraboš, M. (2013). Simulátor robotického pracoviště . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54934

Not specified: Masters Thesis or Doctoral Dissertation

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

Hraboš, Martin. “Simulátor robotického pracoviště .” 2013. Thesis, Brno University of Technology. Accessed March 25, 2019. http://hdl.handle.net/11012/54934.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hraboš, Martin. “Simulátor robotického pracoviště .” 2013. Web. 25 Mar 2019.

Vancouver:

Hraboš M. Simulátor robotického pracoviště . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/11012/54934.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hraboš M. Simulátor robotického pracoviště . [Thesis]. Brno University of Technology; 2013. Available from: http://hdl.handle.net/11012/54934

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

29. Zhang, Lin. Application of Bayesian Hierarchical Models in Genetic Data Analysis.

Degree: 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/148056

► Genetic data analysis has been capturing a lot of attentions for understanding the mechanism of the development and progressing of diseases like cancers, and is…
(more)

Subjects/Keywords: covariance estimation; feature selection; graphical network modeling; genetic data analysis; Bayesian hierarchical model

Record Details Similar Records

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

APA (6^{th} Edition):

Zhang, L. (2012). Application of Bayesian Hierarchical Models in Genetic Data Analysis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148056

Not specified: Masters Thesis or Doctoral Dissertation

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

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Thesis, Texas A&M University. Accessed March 25, 2019. http://hdl.handle.net/1969.1/148056.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Web. 25 Mar 2019.

Vancouver:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1969.1/148056.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148056

Not specified: Masters Thesis or Doctoral Dissertation

Universidade de Brasília

30. Rodrigo Carvalho. Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado.

Degree: 2007, Universidade de Brasília

URL: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2553

►

O geoprocessamento é uma ferramenta de enorme aplicabilidade na pesquisa agropecuária. Modelos gráficos que permitem a identificação de áreas degradadas com rapidez são úteis para… (more)

Subjects/Keywords: soil; CIENCIAS AGRARIAS; geoprocessing; tropical savanna; modelo gráfico; degradação do solo; geoprocessamento; pastures; graphical model

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Carvalho, R. (2007). Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado. (Thesis). Universidade de Brasília. Retrieved from http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2553

Not specified: Masters Thesis or Doctoral Dissertation

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

Carvalho, Rodrigo. “Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado.” 2007. Thesis, Universidade de Brasília. Accessed March 25, 2019. http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2553.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Carvalho, Rodrigo. “Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado.” 2007. Web. 25 Mar 2019.

Vancouver:

Carvalho R. Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado. [Internet] [Thesis]. Universidade de Brasília; 2007. [cited 2019 Mar 25]. Available from: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2553.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Carvalho R. Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado. [Thesis]. Universidade de Brasília; 2007. Available from: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2553

Not specified: Masters Thesis or Doctoral Dissertation