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235 total matches.

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- 2010 – 2014 (117)
- 2005 – 2009 (31)

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- Docteur es (23)

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1. Pacheco, Jason L. Variational Approximations with Diverse Applications.

Degree: PhD, Computer Science, 2016, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:674262/

► We develop a family of algorithms for statistical inference in *models* of high dimensional continuous random variables. Our approach builds on existing variational methods, which…
(more)

Subjects/Keywords: graphical models

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

APA (6^{th} Edition):

Pacheco, J. L. (2016). Variational Approximations with Diverse Applications. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674262/

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

Pacheco, Jason L. “Variational Approximations with Diverse Applications.” 2016. Doctoral Dissertation, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:674262/.

MLA Handbook (7^{th} Edition):

Pacheco, Jason L. “Variational Approximations with Diverse Applications.” 2016. Web. 20 Mar 2019.

Vancouver:

Pacheco JL. Variational Approximations with Diverse Applications. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:674262/.

Council of Science Editors:

Pacheco JL. Variational Approximations with Diverse Applications. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674262/

2. Buchanan, David W. Edge Replacement as a Model of Causal Reasoning.

Degree: PhD, Cognitive Sciences, 2011, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:11424/

► The last two decades in Cognitive Science have seen the productive application of Causal *Graphical* *Models* (Pearl, 2000; Spirtes, Glymour & Scheines, 1993) to theories…
(more)

Subjects/Keywords: causal graphical models

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APA (6^{th} Edition):

Buchanan, D. W. (2011). Edge Replacement as a Model of Causal Reasoning. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11424/

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

Buchanan, David W. “Edge Replacement as a Model of Causal Reasoning.” 2011. Doctoral Dissertation, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:11424/.

MLA Handbook (7^{th} Edition):

Buchanan, David W. “Edge Replacement as a Model of Causal Reasoning.” 2011. Web. 20 Mar 2019.

Vancouver:

Buchanan DW. Edge Replacement as a Model of Causal Reasoning. [Internet] [Doctoral dissertation]. Brown University; 2011. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:11424/.

Council of Science Editors:

Buchanan DW. Edge Replacement as a Model of Causal Reasoning. [Doctoral Dissertation]. Brown University; 2011. Available from: https://repository.library.brown.edu/studio/item/bdr:11424/

Cornell University

3. Tian, Yuan. A Parallel Implementation Of Hierarchical Belief Propagation .

Degree: 2013, Cornell University

URL: http://hdl.handle.net/1813/34099

► Though Belief Propagation (BP) algorithms generate high quality results for a wide range of Markov Random Field (MRF) formulated energy minimization problems, they require large…
(more)

Subjects/Keywords: Belief Propagation; Graphical Models; Parallelism

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APA (6^{th} Edition):

Tian, Y. (2013). A Parallel Implementation Of Hierarchical Belief Propagation . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/34099

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):

Tian, Yuan. “A Parallel Implementation Of Hierarchical Belief Propagation .” 2013. Thesis, Cornell University. Accessed March 20, 2019. http://hdl.handle.net/1813/34099.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tian, Yuan. “A Parallel Implementation Of Hierarchical Belief Propagation .” 2013. Web. 20 Mar 2019.

Vancouver:

Tian Y. A Parallel Implementation Of Hierarchical Belief Propagation . [Internet] [Thesis]. Cornell University; 2013. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1813/34099.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tian Y. A Parallel Implementation Of Hierarchical Belief Propagation . [Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/34099

Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

4. Shegheva, Snejana. A computational model for solving raven’s progressive matrices intelligence test.

Degree: MS, Computer Science, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/60191

► *Graphical* *models* offer techniques for capturing the structure of many problems in real- world domains and provide means for representation, interpretation, and inference. The modeling…
(more)

Subjects/Keywords: Probabilistic graphical models; Machine learning

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APA (6^{th} Edition):

Shegheva, S. (2018). A computational model for solving raven’s progressive matrices intelligence test. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60191

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

Shegheva, Snejana. “A computational model for solving raven’s progressive matrices intelligence test.” 2018. Masters Thesis, Georgia Tech. Accessed March 20, 2019. http://hdl.handle.net/1853/60191.

MLA Handbook (7^{th} Edition):

Shegheva, Snejana. “A computational model for solving raven’s progressive matrices intelligence test.” 2018. Web. 20 Mar 2019.

Vancouver:

Shegheva S. A computational model for solving raven’s progressive matrices intelligence test. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1853/60191.

Council of Science Editors:

Shegheva S. A computational model for solving raven’s progressive matrices intelligence test. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60191

University of New Mexico

5. Oyen, Diane. Interactive Exploration of Multitask Dependency Networks.

Degree: Department of Computer Science, 2013, University of New Mexico

URL: http://hdl.handle.net/1928/23359

► Scientists increasingly depend on machine learning algorithms to discover patterns in complex data. Two examples addressed in this dissertation are identifying how information sharing among…
(more)

Subjects/Keywords: machine learning; probabilistic graphical models

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APA (6^{th} Edition):

Oyen, D. (2013). Interactive Exploration of Multitask Dependency Networks. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/23359

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

Oyen, Diane. “Interactive Exploration of Multitask Dependency Networks.” 2013. Doctoral Dissertation, University of New Mexico. Accessed March 20, 2019. http://hdl.handle.net/1928/23359.

MLA Handbook (7^{th} Edition):

Oyen, Diane. “Interactive Exploration of Multitask Dependency Networks.” 2013. Web. 20 Mar 2019.

Vancouver:

Oyen D. Interactive Exploration of Multitask Dependency Networks. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1928/23359.

Council of Science Editors:

Oyen D. Interactive Exploration of Multitask Dependency Networks. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/23359

University of Rochester

6.
Wei, Bin (1981 - ).
*Graphical**models* for heterogeneous transfer learning and
co-reference resolution.

Degree: PhD, 2011, University of Rochester

URL: http://hdl.handle.net/1802/15216

► Traditional supervised machine learning requires labeled data for a specific problem of interest. There have been many attempts to reduce this requirement such as approaches…
(more)

Subjects/Keywords: Graphical models; Transfer learning

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APA (6^{th} Edition):

Wei, B. (. -. ). (2011). Graphical models for heterogeneous transfer learning and co-reference resolution. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/15216

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

Wei, Bin (1981 - ). “Graphical models for heterogeneous transfer learning and co-reference resolution.” 2011. Doctoral Dissertation, University of Rochester. Accessed March 20, 2019. http://hdl.handle.net/1802/15216.

MLA Handbook (7^{th} Edition):

Wei, Bin (1981 - ). “Graphical models for heterogeneous transfer learning and co-reference resolution.” 2011. Web. 20 Mar 2019.

Vancouver:

Wei B(-). Graphical models for heterogeneous transfer learning and co-reference resolution. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1802/15216.

Council of Science Editors:

Wei B(-). Graphical models for heterogeneous transfer learning and co-reference resolution. [Doctoral Dissertation]. University of Rochester; 2011. Available from: http://hdl.handle.net/1802/15216

University of Utah

7.
Liu, Wei.
Resting state functional magnetic resonance imaging analysis by *graphical* model.

Degree: PhD, Computing (School of), 2014, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102

► Functional magnetic resonance imaging (fMRI) measures the change of oxygen consumption level in the blood vessels of the human brain, hence indirectly detecting the neuronal…
(more)

Subjects/Keywords: Brain connectivity; Functional MRI; Graphical models

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APA (6^{th} Edition):

Liu, W. (2014). Resting state functional magnetic resonance imaging analysis by graphical model. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102

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

Liu, Wei. “Resting state functional magnetic resonance imaging analysis by graphical model.” 2014. Doctoral Dissertation, University of Utah. Accessed March 20, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102.

MLA Handbook (7^{th} Edition):

Liu, Wei. “Resting state functional magnetic resonance imaging analysis by graphical model.” 2014. Web. 20 Mar 2019.

Vancouver:

Liu W. Resting state functional magnetic resonance imaging analysis by graphical model. [Internet] [Doctoral dissertation]. University of Utah; 2014. [cited 2019 Mar 20]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102.

Council of Science Editors:

Liu W. Resting state functional magnetic resonance imaging analysis by graphical model. [Doctoral Dissertation]. University of Utah; 2014. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102

University of British Columbia

8.
Hamze, Firas.
Monte Carlo integration in discrete undirected probabilistic * models*
.

Degree: 2008, University of British Columbia

URL: http://hdl.handle.net/2429/744

► This thesis contains the author’s work in and contributions to the field of Monte Carlo sampling for undirected *graphical* *models*, a class of statistical model…
(more)

Subjects/Keywords: Graphical models; Monte Carlo inference; Bayesian inference

Record Details Similar Records

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APA (6^{th} Edition):

Hamze, F. (2008). Monte Carlo integration in discrete undirected probabilistic models . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/744

Not specified: Masters Thesis or Doctoral Dissertation

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

Hamze, Firas. “Monte Carlo integration in discrete undirected probabilistic models .” 2008. Thesis, University of British Columbia. Accessed March 20, 2019. http://hdl.handle.net/2429/744.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hamze, Firas. “Monte Carlo integration in discrete undirected probabilistic models .” 2008. Web. 20 Mar 2019.

Vancouver:

Hamze F. Monte Carlo integration in discrete undirected probabilistic models . [Internet] [Thesis]. University of British Columbia; 2008. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2429/744.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hamze F. Monte Carlo integration in discrete undirected probabilistic models . [Thesis]. University of British Columbia; 2008. Available from: http://hdl.handle.net/2429/744

Not specified: Masters Thesis or Doctoral Dissertation

University of Adelaide

9. Webb, Michael Roy. New methodologies for modelling individual differences in cognition.

Degree: 2010, University of Adelaide

URL: http://hdl.handle.net/2440/62779

► Many evaluations of cognitive *models* rely on data that have been averaged or aggregated across all experimental subjects, and so fail to consider the possibility…
(more)

Subjects/Keywords: cognitive models; individual differences; Bayesian graphical modelling

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APA (6^{th} Edition):

Webb, M. R. (2010). New methodologies for modelling individual differences in cognition. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/62779

Not specified: Masters Thesis or Doctoral Dissertation

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

Webb, Michael Roy. “New methodologies for modelling individual differences in cognition.” 2010. Thesis, University of Adelaide. Accessed March 20, 2019. http://hdl.handle.net/2440/62779.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Webb, Michael Roy. “New methodologies for modelling individual differences in cognition.” 2010. Web. 20 Mar 2019.

Vancouver:

Webb MR. New methodologies for modelling individual differences in cognition. [Internet] [Thesis]. University of Adelaide; 2010. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2440/62779.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Webb MR. New methodologies for modelling individual differences in cognition. [Thesis]. University of Adelaide; 2010. Available from: http://hdl.handle.net/2440/62779

Not specified: Masters Thesis or Doctoral Dissertation

10. Tezcan, Hasan Gokhan. A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation.

Degree: MSin Electrical and Computer Engineering (M.S.E.C.E.), Electrical & Computer Engineering, 2010, U of Massachusetts : Masters

URL: http://scholarworks.umass.edu/theses/482

► In this thesis we develop a molecular modeling toolkit that *models* the conformation space of proteins and allows easy prototyping of algorithms on the conformation…
(more)

Subjects/Keywords: proteins; free energy; conformation space; graphical models

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APA (6^{th} Edition):

Tezcan, H. G. (2010). A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation. (Masters Thesis). U of Massachusetts : Masters. Retrieved from http://scholarworks.umass.edu/theses/482

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

Tezcan, Hasan Gokhan. “A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation.” 2010. Masters Thesis, U of Massachusetts : Masters. Accessed March 20, 2019. http://scholarworks.umass.edu/theses/482.

MLA Handbook (7^{th} Edition):

Tezcan, Hasan Gokhan. “A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation.” 2010. Web. 20 Mar 2019.

Vancouver:

Tezcan HG. A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation. [Internet] [Masters thesis]. U of Massachusetts : Masters; 2010. [cited 2019 Mar 20]. Available from: http://scholarworks.umass.edu/theses/482.

Council of Science Editors:

Tezcan HG. A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation. [Masters Thesis]. U of Massachusetts : Masters; 2010. Available from: http://scholarworks.umass.edu/theses/482

11. Charbonnier, Camille. Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data.

Degree: Docteur es, Mathématiques appliquées, 2012, Evry-Val d'Essonne

URL: http://www.theses.fr/2012EVRY0022

►

Cette thèse étudie l'inférence de modèles graphiques Gaussiens en grande dimension à partir de données du transcriptome non indépendamment et identiquement distribuées dans l'objectif d'estimer… (more)

Subjects/Keywords: Modèles graphiques Gaussiens; Gaussian graphical models

Record Details Similar Records

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APA (6^{th} Edition):

Charbonnier, C. (2012). Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data. (Doctoral Dissertation). Evry-Val d'Essonne. Retrieved from http://www.theses.fr/2012EVRY0022

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

Charbonnier, Camille. “Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data.” 2012. Doctoral Dissertation, Evry-Val d'Essonne. Accessed March 20, 2019. http://www.theses.fr/2012EVRY0022.

MLA Handbook (7^{th} Edition):

Charbonnier, Camille. “Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data.” 2012. Web. 20 Mar 2019.

Vancouver:

Charbonnier C. Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data. [Internet] [Doctoral dissertation]. Evry-Val d'Essonne; 2012. [cited 2019 Mar 20]. Available from: http://www.theses.fr/2012EVRY0022.

Council of Science Editors:

Charbonnier C. Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data. [Doctoral Dissertation]. Evry-Val d'Essonne; 2012. Available from: http://www.theses.fr/2012EVRY0022

University of Minnesota

12.
Zhu, Yunzhang.
Grouping penalties and its applications to high-dimensional * models*.

Degree: PhD, Statistics, 2014, University of Minnesota

URL: http://hdl.handle.net/11299/165147

► Part I: In high-dimensional regression, grouping pursuit and feature selection have their own merits while complementing each other in battling the curse of dimensionality. To…
(more)

Subjects/Keywords: Graphical models; Grouping penalty; High-dimensional statistics

Record Details Similar Records

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APA (6^{th} Edition):

Zhu, Y. (2014). Grouping penalties and its applications to high-dimensional models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/165147

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

Zhu, Yunzhang. “Grouping penalties and its applications to high-dimensional models.” 2014. Doctoral Dissertation, University of Minnesota. Accessed March 20, 2019. http://hdl.handle.net/11299/165147.

MLA Handbook (7^{th} Edition):

Zhu, Yunzhang. “Grouping penalties and its applications to high-dimensional models.” 2014. Web. 20 Mar 2019.

Vancouver:

Zhu Y. Grouping penalties and its applications to high-dimensional models. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/11299/165147.

Council of Science Editors:

Zhu Y. Grouping penalties and its applications to high-dimensional models. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/165147

Australian National University

13.
Zhang, Xinhua.
*Graphical**Models*: Modeling, Optimization, and Hilbert Space Embedding
.

Degree: 2010, Australian National University

URL: http://hdl.handle.net/1885/49340

► Over the past two decades *graphical* *models* have been widely used as a powerful tool for compactly representing distributions. On the other hand, kernel methods…
(more)

Subjects/Keywords: Machine Learning; Graphical Models; Kernel Methods; Optimization

Record Details Similar Records

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APA (6^{th} Edition):

Zhang, X. (2010). Graphical Models: Modeling, Optimization, and Hilbert Space Embedding . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/49340

Not specified: Masters Thesis or Doctoral Dissertation

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

Zhang, Xinhua. “Graphical Models: Modeling, Optimization, and Hilbert Space Embedding .” 2010. Thesis, Australian National University. Accessed March 20, 2019. http://hdl.handle.net/1885/49340.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhang, Xinhua. “Graphical Models: Modeling, Optimization, and Hilbert Space Embedding .” 2010. Web. 20 Mar 2019.

Vancouver:

Zhang X. Graphical Models: Modeling, Optimization, and Hilbert Space Embedding . [Internet] [Thesis]. Australian National University; 2010. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1885/49340.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang X. Graphical Models: Modeling, Optimization, and Hilbert Space Embedding . [Thesis]. Australian National University; 2010. Available from: http://hdl.handle.net/1885/49340

Not specified: Masters Thesis or Doctoral Dissertation

Australian National University

14.
Mohasel Afshar, Hadi.
Probabilistic Inference in Piecewise *Graphical* * Models*
.

Degree: 2016, Australian National University

URL: http://hdl.handle.net/1885/107386

► In many applications of probabilistic inference the *models* contain piecewise densities that are differentiable except at partition boundaries. For instance, (1) some *models* may intrinsically…
(more)

Subjects/Keywords: Piecewise; Graphical models; probabilistic inference; MCMC; sampling

Record Details Similar Records

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APA (6^{th} Edition):

Mohasel Afshar, H. (2016). Probabilistic Inference in Piecewise Graphical Models . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/107386

Not specified: Masters Thesis or Doctoral Dissertation

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

Mohasel Afshar, Hadi. “Probabilistic Inference in Piecewise Graphical Models .” 2016. Thesis, Australian National University. Accessed March 20, 2019. http://hdl.handle.net/1885/107386.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mohasel Afshar, Hadi. “Probabilistic Inference in Piecewise Graphical Models .” 2016. Web. 20 Mar 2019.

Vancouver:

Mohasel Afshar H. Probabilistic Inference in Piecewise Graphical Models . [Internet] [Thesis]. Australian National University; 2016. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1885/107386.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mohasel Afshar H. Probabilistic Inference in Piecewise Graphical Models . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/107386

Not specified: Masters Thesis or Doctoral Dissertation

University of Rochester

15.
Mahalanabis, Satyaki.
Subset and sample selection for *graphical* *models*:
Gaussian processes, Ising *models* and Gaussian mixture
* models*.

Degree: PhD, 2012, University of Rochester

URL: http://hdl.handle.net/1802/25118

► Probabilistic *Graphical* *Models* are a popular method of representing complex joint distributions in which stochastic dependence between subsets of random variables is expressed in terms…
(more)

Subjects/Keywords: Graphical models; Sample selection; Subset selection

Record Details Similar Records

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APA (6^{th} Edition):

Mahalanabis, S. (2012). Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/25118

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

Mahalanabis, Satyaki. “Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models.” 2012. Doctoral Dissertation, University of Rochester. Accessed March 20, 2019. http://hdl.handle.net/1802/25118.

MLA Handbook (7^{th} Edition):

Mahalanabis, Satyaki. “Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models.” 2012. Web. 20 Mar 2019.

Vancouver:

Mahalanabis S. Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models. [Internet] [Doctoral dissertation]. University of Rochester; 2012. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1802/25118.

Council of Science Editors:

Mahalanabis S. Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models. [Doctoral Dissertation]. University of Rochester; 2012. Available from: http://hdl.handle.net/1802/25118

Texas A&M University

16.
Talluri, Rajesh.
Bayesian Gaussian *Graphical* *models* using sparse selection priors and their mixtures.

Degree: 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828

► We propose Bayesian methods for estimating the precision matrix in Gaussian *graphical* *models*. The methods lead to sparse and adaptively shrunk estimators of the precision…
(more)

Subjects/Keywords: Bayesian; Gaussian Graphical Models; Covariance Selection; Mixture Models

Record Details Similar Records

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APA (6^{th} Edition):

Talluri, R. (2012). Bayesian Gaussian Graphical models using sparse selection priors and their mixtures. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828

Not specified: Masters Thesis or Doctoral Dissertation

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

Talluri, Rajesh. “Bayesian Gaussian Graphical models using sparse selection priors and their mixtures.” 2012. Thesis, Texas A&M University. Accessed March 20, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Talluri, Rajesh. “Bayesian Gaussian Graphical models using sparse selection priors and their mixtures.” 2012. Web. 20 Mar 2019.

Vancouver:

Talluri R. Bayesian Gaussian Graphical models using sparse selection priors and their mixtures. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Talluri R. Bayesian Gaussian Graphical models using sparse selection priors and their mixtures. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828

Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

17.
-4493-3358.
Appropriate, accessible and appealing probabilistic *graphical* * models*.

Degree: Computer Sciences, 2017, University of Texas – Austin

URL: http://hdl.handle.net/2152/62986

► Appropriate - Many multivariate probabilistic *models* either use independent distributions or dependent Gaussian distributions. Yet, many real-world datasets contain count-valued or non-negative skewed data, e.g.…
(more)

Subjects/Keywords: Graphical models; Topic models; Poisson; Count data; Visualization; Human computer interaction

Record Details Similar Records

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

APA (6^{th} Edition):

-4493-3358. (2017). Appropriate, accessible and appealing probabilistic graphical models. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62986

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

Author name may be incomplete

Not specified: Masters Thesis or Doctoral Dissertation

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

-4493-3358. “Appropriate, accessible and appealing probabilistic graphical models.” 2017. Thesis, University of Texas – Austin. Accessed March 20, 2019. http://hdl.handle.net/2152/62986.

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

Author name may be incomplete

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

-4493-3358. “Appropriate, accessible and appealing probabilistic graphical models.” 2017. Web. 20 Mar 2019.

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

Author name may be incomplete

Vancouver:

-4493-3358. Appropriate, accessible and appealing probabilistic graphical models. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2152/62986.

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

Author name may be incomplete

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-4493-3358. Appropriate, accessible and appealing probabilistic graphical models. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62986

Author name may be incomplete

Not specified: Masters Thesis or Doctoral Dissertation

University of Oxford

18. Hitz, Adrien. Modelling of extremes.

Degree: PhD, 2016, University of Oxford

URL: https://ora.ox.ac.uk/objects/uuid:ad32f298-b140-4aae-b50e-931259714085 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730173

► This work focuses on statistical methods to understand how frequently rare events occur and what the magnitude of extreme values such as large losses is.…
(more)

Subjects/Keywords: Extreme Value Theory; Extreme River Flows; Website Visits; Discrete Distributions; Asymptotic Graphical Models; Graphical Models; One Component Regular Variation; Asymptotic Conditional Independence; Generalized Zipf Distribution; Tree Graphical Models; Multivariate Regular Variation; Gaussian Graphical Models; Student Graphical Models; Censored Copula; Discrete Generalized Pareto Distribution; Discrete Pareto IV Distribution

Record Details Similar Records

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

APA (6^{th} Edition):

Hitz, A. (2016). Modelling of extremes. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:ad32f298-b140-4aae-b50e-931259714085 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730173

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

Hitz, Adrien. “Modelling of extremes.” 2016. Doctoral Dissertation, University of Oxford. Accessed March 20, 2019. https://ora.ox.ac.uk/objects/uuid:ad32f298-b140-4aae-b50e-931259714085 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730173.

MLA Handbook (7^{th} Edition):

Hitz, Adrien. “Modelling of extremes.” 2016. Web. 20 Mar 2019.

Vancouver:

Hitz A. Modelling of extremes. [Internet] [Doctoral dissertation]. University of Oxford; 2016. [cited 2019 Mar 20]. Available from: https://ora.ox.ac.uk/objects/uuid:ad32f298-b140-4aae-b50e-931259714085 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730173.

Council of Science Editors:

Hitz A. Modelling of extremes. [Doctoral Dissertation]. University of Oxford; 2016. Available from: https://ora.ox.ac.uk/objects/uuid:ad32f298-b140-4aae-b50e-931259714085 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730173

Penn State University

19.
Butt, Asad Anwar.
Multi-target Tracking Using Higher-order Motion
* Models*.

Degree: PhD, Computer Science and Engineering, 2013, Penn State University

URL: https://etda.libraries.psu.edu/catalog/19121

► Multi-target tracking is a significant and challenging problem. In its general form it is known to be NP-hard, and many approximate sub-optimal solution methods have…
(more)

Subjects/Keywords: multi-target tracking; graphical models; higher-order models; motion models; min-cost network flow

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

APA (6^{th} Edition):

Butt, A. A. (2013). Multi-target Tracking Using Higher-order Motion Models. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/19121

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

Butt, Asad Anwar. “Multi-target Tracking Using Higher-order Motion Models.” 2013. Doctoral Dissertation, Penn State University. Accessed March 20, 2019. https://etda.libraries.psu.edu/catalog/19121.

MLA Handbook (7^{th} Edition):

Butt, Asad Anwar. “Multi-target Tracking Using Higher-order Motion Models.” 2013. Web. 20 Mar 2019.

Vancouver:

Butt AA. Multi-target Tracking Using Higher-order Motion Models. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Mar 20]. Available from: https://etda.libraries.psu.edu/catalog/19121.

Council of Science Editors:

Butt AA. Multi-target Tracking Using Higher-order Motion Models. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/19121

20. Belilovsky, Eugene. Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging.

Degree: Docteur es, Traitement du signal et des images, 2018, Paris Saclay; Katholieke Universiteit Leuven

URL: http://www.theses.fr/2018SACLC027

►

Cette thèse présente de nouvelles méthodes d’apprentissage structuré et parcimonieux sur les graphes, ce qui permet de résoudre une large variété de problèmes d’imagerie cérébrale,… (more)

Subjects/Keywords: Apprentissage statistique; Gaussian graphical models; Neuroimagerie; Apprentissage profond; Machine learning; Gaussian graphical models; Neuroimaging; Deep learning

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

APA (6^{th} Edition):

Belilovsky, E. (2018). Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging. (Doctoral Dissertation). Paris Saclay; Katholieke Universiteit Leuven. Retrieved from http://www.theses.fr/2018SACLC027

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

Belilovsky, Eugene. “Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging.” 2018. Doctoral Dissertation, Paris Saclay; Katholieke Universiteit Leuven. Accessed March 20, 2019. http://www.theses.fr/2018SACLC027.

MLA Handbook (7^{th} Edition):

Belilovsky, Eugene. “Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging.” 2018. Web. 20 Mar 2019.

Vancouver:

Belilovsky E. Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging. [Internet] [Doctoral dissertation]. Paris Saclay; Katholieke Universiteit Leuven; 2018. [cited 2019 Mar 20]. Available from: http://www.theses.fr/2018SACLC027.

Council of Science Editors:

Belilovsky E. Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging. [Doctoral Dissertation]. Paris Saclay; Katholieke Universiteit Leuven; 2018. Available from: http://www.theses.fr/2018SACLC027

21.
Grzegorczyk, Marco.
Comparative evaluation of
different *graphical* *models* for the analysis of gene expression
data.

Degree: 2006, Technische Universität Dortmund

URL: http://hdl.handle.net/2003/22855

► An important problem in systems biology is to infer the architecture of gene regulatory networks and biochemical pathways from postgenomic data. Various reverse engineering methods…
(more)

Subjects/Keywords: Bayesian networks; Gene regulatory networks; Graphical Gaussian models; Relevance networks; 310

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

APA (6^{th} Edition):

Grzegorczyk, M. (2006). Comparative evaluation of different graphical models for the analysis of gene expression data. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/22855

Not specified: Masters Thesis or Doctoral Dissertation

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

Grzegorczyk, Marco. “Comparative evaluation of different graphical models for the analysis of gene expression data.” 2006. Thesis, Technische Universität Dortmund. Accessed March 20, 2019. http://hdl.handle.net/2003/22855.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Grzegorczyk, Marco. “Comparative evaluation of different graphical models for the analysis of gene expression data.” 2006. Web. 20 Mar 2019.

Vancouver:

Grzegorczyk M. Comparative evaluation of different graphical models for the analysis of gene expression data. [Internet] [Thesis]. Technische Universität Dortmund; 2006. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2003/22855.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Grzegorczyk M. Comparative evaluation of different graphical models for the analysis of gene expression data. [Thesis]. Technische Universität Dortmund; 2006. Available from: http://hdl.handle.net/2003/22855

Not specified: Masters Thesis or Doctoral Dissertation

22. Mauá, Denis Deratani. Algorithms and complexity results for discrete probabilistic reasoning tasks.

Degree: 2013, Università della Svizzera italiana

URL: http://doc.rero.ch/record/203103

► Many solutions to problems in machine learning and artificial intelligence involve solving a combinatorial optimization problem over discrete variables whose functional dependence is conveniently represented…
(more)

Subjects/Keywords: Probabilistic graphical models

…Maximum a posteriori inference
2.1 *Graphical* *models* and the MAP assignment problem . . . .
2.2… …problems we consider involves credal networks, which are
*graphical* *models* whose numerical… …posteriori inference in discrete probabilistic *graphical*
*models* (more precisely, in Bayesian… …inference problem in *graphical* *models*. The algorithm is carefully analyzed and
is shown… …*graphical* *models*. The complexity analysis of the strategy selection problem in limited memory…

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Mauá, D. D. (2013). Algorithms and complexity results for discrete probabilistic reasoning tasks. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/203103

Not specified: Masters Thesis or Doctoral Dissertation

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

Mauá, Denis Deratani. “Algorithms and complexity results for discrete probabilistic reasoning tasks.” 2013. Thesis, Università della Svizzera italiana. Accessed March 20, 2019. http://doc.rero.ch/record/203103.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mauá, Denis Deratani. “Algorithms and complexity results for discrete probabilistic reasoning tasks.” 2013. Web. 20 Mar 2019.

Vancouver:

Mauá DD. Algorithms and complexity results for discrete probabilistic reasoning tasks. [Internet] [Thesis]. Università della Svizzera italiana; 2013. [cited 2019 Mar 20]. Available from: http://doc.rero.ch/record/203103.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mauá DD. Algorithms and complexity results for discrete probabilistic reasoning tasks. [Thesis]. Università della Svizzera italiana; 2013. Available from: http://doc.rero.ch/record/203103

Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

23.
Sinclair, David Giles.
Model selection results for latent high-dimensional *graphical* *models* on binary and count data with applications to fMRI and Genomics
.

Degree: 2017, Cornell University

URL: http://hdl.handle.net/1813/56786

► This dissertation explores the undirected *graphical* model framework. We explore applications of highly dependent binary data and count data in order to determine to determine…
(more)

Subjects/Keywords: Statistics; fMRI; Graphical Models; Expectation Maximzation; Latent Network; miRNA; lasso

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APA (6^{th} Edition):

Sinclair, D. G. (2017). Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/56786

Not specified: Masters Thesis or Doctoral Dissertation

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

Sinclair, David Giles. “Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics .” 2017. Thesis, Cornell University. Accessed March 20, 2019. http://hdl.handle.net/1813/56786.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sinclair, David Giles. “Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics .” 2017. Web. 20 Mar 2019.

Vancouver:

Sinclair DG. Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics . [Internet] [Thesis]. Cornell University; 2017. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1813/56786.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sinclair DG. Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics . [Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/56786

Not specified: Masters Thesis or Doctoral Dissertation

RMIT University

24. Queiroz Batista da Silva, C. A holistic approach for measuring the survivability of SCADA systems.

Degree: 2012, RMIT University

URL: http://researchbank.rmit.edu.au/view/rmit:160341

► Supervisory Control and Data Acquisition (SCADA) systems are responsible for controlling and monitoring Industrial Control Systems (ICS) and Critical Infrastructure Systems (CIS) among others. Such…
(more)

Subjects/Keywords: Fields of Research; SCADA; Survivability; Probabilistic Graphical Models; Security; Performance

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APA (6^{th} Edition):

Queiroz Batista da Silva, C. (2012). A holistic approach for measuring the survivability of SCADA systems. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:160341

Not specified: Masters Thesis or Doctoral Dissertation

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

Queiroz Batista da Silva, C. “A holistic approach for measuring the survivability of SCADA systems.” 2012. Thesis, RMIT University. Accessed March 20, 2019. http://researchbank.rmit.edu.au/view/rmit:160341.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Queiroz Batista da Silva, C. “A holistic approach for measuring the survivability of SCADA systems.” 2012. Web. 20 Mar 2019.

Vancouver:

Queiroz Batista da Silva C. A holistic approach for measuring the survivability of SCADA systems. [Internet] [Thesis]. RMIT University; 2012. [cited 2019 Mar 20]. Available from: http://researchbank.rmit.edu.au/view/rmit:160341.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Queiroz Batista da Silva C. A holistic approach for measuring the survivability of SCADA systems. [Thesis]. RMIT University; 2012. Available from: http://researchbank.rmit.edu.au/view/rmit:160341

Not specified: Masters Thesis or Doctoral Dissertation

University of Toronto

25.
Dhoot, Aditya.
Wind Farm Layout Optimization Using Approximate Inference in *Graphical* * Models*.

Degree: 2016, University of Toronto

URL: http://hdl.handle.net/1807/72692

►

Wind farm layout optimization (WFLO) determines the optimal location of wind turbines within a fixed geographical area to maximize the total power capacity of the… (more)

Subjects/Keywords: approximate inference; probabilistic graphical models; wind farm design; 0796

Record Details Similar Records

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

APA (6^{th} Edition):

Dhoot, A. (2016). Wind Farm Layout Optimization Using Approximate Inference in Graphical Models. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/72692

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

Dhoot, Aditya. “Wind Farm Layout Optimization Using Approximate Inference in Graphical Models.” 2016. Masters Thesis, University of Toronto. Accessed March 20, 2019. http://hdl.handle.net/1807/72692.

MLA Handbook (7^{th} Edition):

Dhoot, Aditya. “Wind Farm Layout Optimization Using Approximate Inference in Graphical Models.” 2016. Web. 20 Mar 2019.

Vancouver:

Dhoot A. Wind Farm Layout Optimization Using Approximate Inference in Graphical Models. [Internet] [Masters thesis]. University of Toronto; 2016. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1807/72692.

Council of Science Editors:

Dhoot A. Wind Farm Layout Optimization Using Approximate Inference in Graphical Models. [Masters Thesis]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/72692

Georgia Tech

26.
Zou, Jun.
Social computing for personalization and credible information mining using probabilistic *graphical* * models*.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/55646

► In this dissertation, we address challenging social computing problems in personalized recommender systems and social media information mining. We tap into probabilistic *graphical* *models*, including…
(more)

Subjects/Keywords: Social computing; Recommender systems; Collaborative filtering; Belief propagation; Probabilistic graphical models

Record Details Similar Records

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

APA (6^{th} Edition):

Zou, J. (2016). Social computing for personalization and credible information mining using probabilistic graphical models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55646

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

Zou, Jun. “Social computing for personalization and credible information mining using probabilistic graphical models.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 20, 2019. http://hdl.handle.net/1853/55646.

MLA Handbook (7^{th} Edition):

Zou, Jun. “Social computing for personalization and credible information mining using probabilistic graphical models.” 2016. Web. 20 Mar 2019.

Vancouver:

Zou J. Social computing for personalization and credible information mining using probabilistic graphical models. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1853/55646.

Council of Science Editors:

Zou J. Social computing for personalization and credible information mining using probabilistic graphical models. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55646

The Ohio State University

27.
Ma, Yi.
Learning for Spoken Dialog Systems with Discriminative
*Graphical* * Models*.

Degree: PhD, Computer Science and Engineering, 2015, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440166760

► A statistical spoken dialog system must keep track of what the user wants at any point during a dialog. The system has the ability to…
(more)

Subjects/Keywords: Computer Science; spoken dialog systems; discriminative graphical models

Record Details Similar Records

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

APA (6^{th} Edition):

Ma, Y. (2015). Learning for Spoken Dialog Systems with Discriminative Graphical Models. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1440166760

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

Ma, Yi. “Learning for Spoken Dialog Systems with Discriminative Graphical Models.” 2015. Doctoral Dissertation, The Ohio State University. Accessed March 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440166760.

MLA Handbook (7^{th} Edition):

Ma, Yi. “Learning for Spoken Dialog Systems with Discriminative Graphical Models.” 2015. Web. 20 Mar 2019.

Vancouver:

Ma Y. Learning for Spoken Dialog Systems with Discriminative Graphical Models. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Mar 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440166760.

Council of Science Editors:

Ma Y. Learning for Spoken Dialog Systems with Discriminative Graphical Models. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440166760

Carnegie Mellon University

28.
Wei, Wei.
Probabilistic *Models* of Topics and Social Events.

Degree: 2016, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/941

► Structured probabilistic inference has shown to be useful in modeling complex latent structures of data. One successful way in which this technique has been applied…
(more)

Subjects/Keywords: Machine Learning; Topic Modeling; Graphical Models; Non-parametric Bayesian; Text Mining

Record Details Similar Records

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

APA (6^{th} Edition):

Wei, W. (2016). Probabilistic Models of Topics and Social Events. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/941

Not specified: Masters Thesis or Doctoral Dissertation

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

Wei, Wei. “Probabilistic Models of Topics and Social Events.” 2016. Thesis, Carnegie Mellon University. Accessed March 20, 2019. http://repository.cmu.edu/dissertations/941.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wei, Wei. “Probabilistic Models of Topics and Social Events.” 2016. Web. 20 Mar 2019.

Vancouver:

Wei W. Probabilistic Models of Topics and Social Events. [Internet] [Thesis]. Carnegie Mellon University; 2016. [cited 2019 Mar 20]. Available from: http://repository.cmu.edu/dissertations/941.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wei W. Probabilistic Models of Topics and Social Events. [Thesis]. Carnegie Mellon University; 2016. Available from: http://repository.cmu.edu/dissertations/941

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Irvine

29.
Lam, William Ming.
Advancing Heuristics for Search over *Graphical* * Models*.

Degree: Computer Science, 2017, University of California – Irvine

URL: http://www.escholarship.org/uc/item/3kf999mp

► *Graphical* *models* are widely used to model complex interactions between variables. A *graphical* model contains many functions over these variables which have an underlying graph…
(more)

Subjects/Keywords: Artificial intelligence; combinatorial optimization; graphical models; heuristic search

Record Details Similar Records

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

APA (6^{th} Edition):

Lam, W. M. (2017). Advancing Heuristics for Search over Graphical Models. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/3kf999mp

Not specified: Masters Thesis or Doctoral Dissertation

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

Lam, William Ming. “Advancing Heuristics for Search over Graphical Models.” 2017. Thesis, University of California – Irvine. Accessed March 20, 2019. http://www.escholarship.org/uc/item/3kf999mp.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lam, William Ming. “Advancing Heuristics for Search over Graphical Models.” 2017. Web. 20 Mar 2019.

Vancouver:

Lam WM. Advancing Heuristics for Search over Graphical Models. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2019 Mar 20]. Available from: http://www.escholarship.org/uc/item/3kf999mp.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lam WM. Advancing Heuristics for Search over Graphical Models. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/3kf999mp

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Santa Cruz

30. Ng, Sam. Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis.

Degree: Biomolecular Engineering and Bioinformatics, 2015, University of California – Santa Cruz

URL: http://www.escholarship.org/uc/item/7j0151v4

► Since response to therapy can differ greatly between cancer patients, a precision medicine approach to treating cancer based on the uniqueness of patient tumors could…
(more)

Subjects/Keywords: Bioinformatics; Bioinformatics; Cancer; Graphical Models; Precision Medicine; Systems Biology; TCGA

Record Details Similar Records

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APA (6^{th} Edition):

Ng, S. (2015). Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/7j0151v4

Not specified: Masters Thesis or Doctoral Dissertation

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

Ng, Sam. “Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis.” 2015. Thesis, University of California – Santa Cruz. Accessed March 20, 2019. http://www.escholarship.org/uc/item/7j0151v4.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ng, Sam. “Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis.” 2015. Web. 20 Mar 2019.

Vancouver:

Ng S. Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2019 Mar 20]. Available from: http://www.escholarship.org/uc/item/7j0151v4.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ng S. Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis. [Thesis]. University of California – Santa Cruz; 2015. Available from: http://www.escholarship.org/uc/item/7j0151v4

Not specified: Masters Thesis or Doctoral Dissertation