Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Topic models). Showing records 1 – 30 of 70 total matches.

[1] [2] [3]

Search Limiters

Last 2 Years | English Only

▼ Search Limiters


Dalhousie University

1. Riahi, Fatemeh. Finding Expert Users in Community Question Answering Services Using Topic Models.

Degree: Master of Computer Science, Faculty of Computer Science, 2012, Dalhousie University

 Community Question Answering (CQA) websites provide a rapidly growing source of information in many areas. In most CQA implementations there is little effort in directing… (more)

Subjects/Keywords: Topic models; Expert Recommender

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Riahi, F. (2012). Finding Expert Users in Community Question Answering Services Using Topic Models. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/14580

Chicago Manual of Style (16th Edition):

Riahi, Fatemeh. “Finding Expert Users in Community Question Answering Services Using Topic Models.” 2012. Masters Thesis, Dalhousie University. Accessed April 19, 2019. http://hdl.handle.net/10222/14580.

MLA Handbook (7th Edition):

Riahi, Fatemeh. “Finding Expert Users in Community Question Answering Services Using Topic Models.” 2012. Web. 19 Apr 2019.

Vancouver:

Riahi F. Finding Expert Users in Community Question Answering Services Using Topic Models. [Internet] [Masters thesis]. Dalhousie University; 2012. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10222/14580.

Council of Science Editors:

Riahi F. Finding Expert Users in Community Question Answering Services Using Topic Models. [Masters Thesis]. Dalhousie University; 2012. Available from: http://hdl.handle.net/10222/14580


Queens University

2. Grant, Scott. Using Topic Models to Support Software Maintenance .

Degree: Computing, 2012, Queens University

 Latent topic models are statistical structures in which a "latent topic" describes some relationship between parts of the data. Co-maintenance is defined as an observable… (more)

Subjects/Keywords: latent topic models; software engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Grant, S. (2012). Using Topic Models to Support Software Maintenance . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/7169

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

Chicago Manual of Style (16th Edition):

Grant, Scott. “Using Topic Models to Support Software Maintenance .” 2012. Thesis, Queens University. Accessed April 19, 2019. http://hdl.handle.net/1974/7169.

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

MLA Handbook (7th Edition):

Grant, Scott. “Using Topic Models to Support Software Maintenance .” 2012. Web. 19 Apr 2019.

Vancouver:

Grant S. Using Topic Models to Support Software Maintenance . [Internet] [Thesis]. Queens University; 2012. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1974/7169.

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

Council of Science Editors:

Grant S. Using Topic Models to Support Software Maintenance . [Thesis]. Queens University; 2012. Available from: http://hdl.handle.net/1974/7169

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


University of Texas – Austin

3. Rajani, Nazneen Fatema Naushad. New topic detection in microblogs and topic model evaluation using topical alignment.

Degree: Computer Sciences, 2014, University of Texas – Austin

 This thesis deals with topic model evaluation and new topic detection in microblogs. Microblogs are short and thus may not carry any contextual clues. Hence… (more)

Subjects/Keywords: Topic models; Topical alignment

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rajani, N. F. N. (2014). New topic detection in microblogs and topic model evaluation using topical alignment. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/25914

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

Chicago Manual of Style (16th Edition):

Rajani, Nazneen Fatema Naushad. “New topic detection in microblogs and topic model evaluation using topical alignment.” 2014. Thesis, University of Texas – Austin. Accessed April 19, 2019. http://hdl.handle.net/2152/25914.

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

MLA Handbook (7th Edition):

Rajani, Nazneen Fatema Naushad. “New topic detection in microblogs and topic model evaluation using topical alignment.” 2014. Web. 19 Apr 2019.

Vancouver:

Rajani NFN. New topic detection in microblogs and topic model evaluation using topical alignment. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/2152/25914.

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

Council of Science Editors:

Rajani NFN. New topic detection in microblogs and topic model evaluation using topical alignment. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/25914

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


University of Guelph

4. Zhou, Haochen. Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model .

Degree: 2014, University of Guelph

 In this research, we apply a generalized topic and syntax model named Part-of-Speech LDA (POSLDA) to sentiment analysis, and propose several feature selection schemes to… (more)

Subjects/Keywords: topic models,; Maximum Entropy Classifier; sentiment analysis; topic and syntax models; feature selection

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhou, H. (2014). Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8409

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

Chicago Manual of Style (16th Edition):

Zhou, Haochen. “Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model .” 2014. Thesis, University of Guelph. Accessed April 19, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8409.

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

MLA Handbook (7th Edition):

Zhou, Haochen. “Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model .” 2014. Web. 19 Apr 2019.

Vancouver:

Zhou H. Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model . [Internet] [Thesis]. University of Guelph; 2014. [cited 2019 Apr 19]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8409.

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

Council of Science Editors:

Zhou H. Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model . [Thesis]. University of Guelph; 2014. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8409

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


University of Melbourne

5. LAU, JEY HAN. Improving the utility of topic models: an uncut gem does not sparkle.

Degree: 2013, University of Melbourne

 This thesis concerns a type of statistical model known as topic model. Topic modelling learns abstract “topics” in a collection of documents, and by “topic”… (more)

Subjects/Keywords: natural language processing; topic models; graphical models; multiword expressions; word sense induction; topic labelling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

LAU, J. H. (2013). Improving the utility of topic models: an uncut gem does not sparkle. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/38159

Chicago Manual of Style (16th Edition):

LAU, JEY HAN. “Improving the utility of topic models: an uncut gem does not sparkle.” 2013. Doctoral Dissertation, University of Melbourne. Accessed April 19, 2019. http://hdl.handle.net/11343/38159.

MLA Handbook (7th Edition):

LAU, JEY HAN. “Improving the utility of topic models: an uncut gem does not sparkle.” 2013. Web. 19 Apr 2019.

Vancouver:

LAU JH. Improving the utility of topic models: an uncut gem does not sparkle. [Internet] [Doctoral dissertation]. University of Melbourne; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/11343/38159.

Council of Science Editors:

LAU JH. Improving the utility of topic models: an uncut gem does not sparkle. [Doctoral Dissertation]. University of Melbourne; 2013. Available from: http://hdl.handle.net/11343/38159


Humboldt University of Berlin

6. Bau, Jérôme. Probabilistic Topic Models in Natural Language Processing.

Degree: 2017, Humboldt University of Berlin

In Machine Learning dienen topic models der Entdeckung abstrakter Strukturen in großen Textsammlungen. Ich präsentiere eine zugeschnittene Auswahl von Konzepten aus den Gebieten Informationstheorie und… (more)

Subjects/Keywords: Wirtschaft; text mining; Topic models; text mining; Latent Dirichlet Allocation; Dynamic Topic Model; Vektorraum-Retrieval; Topic models; Latent Dirichlet Allocation; Dynamic Topic Model; Vector Space Model; ddc:330

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bau, J. (2017). Probabilistic Topic Models in Natural Language Processing. (Masters Thesis). Humboldt University of Berlin. Retrieved from http://edoc.hu-berlin.de/docviews/abstract.php?id=43122 ; http://edoc.hu-berlin.de/master/bau-jerome-2016-11-22/PDF/bau.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242955

Chicago Manual of Style (16th Edition):

Bau, Jérôme. “Probabilistic Topic Models in Natural Language Processing.” 2017. Masters Thesis, Humboldt University of Berlin. Accessed April 19, 2019. http://edoc.hu-berlin.de/docviews/abstract.php?id=43122 ; http://edoc.hu-berlin.de/master/bau-jerome-2016-11-22/PDF/bau.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242955.

MLA Handbook (7th Edition):

Bau, Jérôme. “Probabilistic Topic Models in Natural Language Processing.” 2017. Web. 19 Apr 2019.

Vancouver:

Bau J. Probabilistic Topic Models in Natural Language Processing. [Internet] [Masters thesis]. Humboldt University of Berlin; 2017. [cited 2019 Apr 19]. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=43122 ; http://edoc.hu-berlin.de/master/bau-jerome-2016-11-22/PDF/bau.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242955.

Council of Science Editors:

Bau J. Probabilistic Topic Models in Natural Language Processing. [Masters Thesis]. Humboldt University of Berlin; 2017. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=43122 ; http://edoc.hu-berlin.de/master/bau-jerome-2016-11-22/PDF/bau.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242955


University of Texas – Austin

7. -4493-3358. Appropriate, accessible and appealing probabilistic graphical models.

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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th Edition):

-4493-3358. “Appropriate, accessible and appealing probabilistic graphical models.” 2017. Thesis, University of Texas – Austin. Accessed April 19, 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 (7th Edition):

-4493-3358. “Appropriate, accessible and appealing probabilistic graphical models.” 2017. Web. 19 Apr 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 Apr 19]. 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

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


The Ohio State University

8. Zheng, Ning. Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision.

Degree: PhD, Industrial and Systems Engineering, 2008, The Ohio State University

  Massive databases with free-style text fields are a common feature of virtually all types of organizations from hospitals to aviation companies to governmental agencies.… (more)

Subjects/Keywords: topic models; Bayesian inference; Dirichlet processes; experimental design; hierarchical Dirichlet processes

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zheng, N. (2008). Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529

Chicago Manual of Style (16th Edition):

Zheng, Ning. “Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision.” 2008. Doctoral Dissertation, The Ohio State University. Accessed April 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529.

MLA Handbook (7th Edition):

Zheng, Ning. “Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision.” 2008. Web. 19 Apr 2019.

Vancouver:

Zheng N. Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2019 Apr 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529.

Council of Science Editors:

Zheng N. Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529


Penn State University

9. Yang, Tao. Mining Texts and Social Users Using Time Series and Latent Topics.

Degree: PhD, Information Sciences and Technology, 2013, Penn State University

 Knowledge discovery has received tremendous interests and fast developments in both text mining and social user mining. The main purpose is to search massive volumes… (more)

Subjects/Keywords: text mining; social user mining; time series; topic models

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yang, T. (2013). Mining Texts and Social Users Using Time Series and Latent Topics. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/21779

Chicago Manual of Style (16th Edition):

Yang, Tao. “Mining Texts and Social Users Using Time Series and Latent Topics.” 2013. Doctoral Dissertation, Penn State University. Accessed April 19, 2019. https://etda.libraries.psu.edu/catalog/21779.

MLA Handbook (7th Edition):

Yang, Tao. “Mining Texts and Social Users Using Time Series and Latent Topics.” 2013. Web. 19 Apr 2019.

Vancouver:

Yang T. Mining Texts and Social Users Using Time Series and Latent Topics. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Apr 19]. Available from: https://etda.libraries.psu.edu/catalog/21779.

Council of Science Editors:

Yang T. Mining Texts and Social Users Using Time Series and Latent Topics. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/21779


Carnegie Mellon University

10. Wei, Wei. Probabilistic Models of Topics and Social Events.

Degree: 2016, Carnegie Mellon University

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Wei, Wei. “Probabilistic Models of Topics and Social Events.” 2016. Thesis, Carnegie Mellon University. Accessed April 19, 2019. http://repository.cmu.edu/dissertations/941.

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

MLA Handbook (7th Edition):

Wei, Wei. “Probabilistic Models of Topics and Social Events.” 2016. Web. 19 Apr 2019.

Vancouver:

Wei W. Probabilistic Models of Topics and Social Events. [Internet] [Thesis]. Carnegie Mellon University; 2016. [cited 2019 Apr 19]. Available from: http://repository.cmu.edu/dissertations/941.

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

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

11. Wang, Xuerui. Structured Topic Models: Jointly Modeling Words and Their Accompanying Modalities.

Degree: PhD, Computer Science, 2009, U of Massachusetts : PhD

  The abundance of data in the information age poses an immense challenge for us: how to perform large-scale inference to understand and utilize this… (more)

Subjects/Keywords: Multiple modalities; Social network analysis; Text mining; Topic models; Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, X. (2009). Structured Topic Models: Jointly Modeling Words and Their Accompanying Modalities. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/58

Chicago Manual of Style (16th Edition):

Wang, Xuerui. “Structured Topic Models: Jointly Modeling Words and Their Accompanying Modalities.” 2009. Doctoral Dissertation, U of Massachusetts : PhD. Accessed April 19, 2019. https://scholarworks.umass.edu/open_access_dissertations/58.

MLA Handbook (7th Edition):

Wang, Xuerui. “Structured Topic Models: Jointly Modeling Words and Their Accompanying Modalities.” 2009. Web. 19 Apr 2019.

Vancouver:

Wang X. Structured Topic Models: Jointly Modeling Words and Their Accompanying Modalities. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2009. [cited 2019 Apr 19]. Available from: https://scholarworks.umass.edu/open_access_dissertations/58.

Council of Science Editors:

Wang X. Structured Topic Models: Jointly Modeling Words and Their Accompanying Modalities. [Doctoral Dissertation]. U of Massachusetts : PhD; 2009. Available from: https://scholarworks.umass.edu/open_access_dissertations/58


University of Texas – Austin

12. Waters, Austin Severn. Infinite-word topic models for digital media.

Degree: Computer Sciences, 2014, University of Texas – Austin

 Digital media collections hold an unprecedented source of knowledge and data about the world. Yet, even at current scales, the data exceeds by many orders… (more)

Subjects/Keywords: Machine learning; Topic models; Variational inference; Bayesian nonparametrics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Waters, A. S. (2014). Infinite-word topic models for digital media. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/24968

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

Chicago Manual of Style (16th Edition):

Waters, Austin Severn. “Infinite-word topic models for digital media.” 2014. Thesis, University of Texas – Austin. Accessed April 19, 2019. http://hdl.handle.net/2152/24968.

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

MLA Handbook (7th Edition):

Waters, Austin Severn. “Infinite-word topic models for digital media.” 2014. Web. 19 Apr 2019.

Vancouver:

Waters AS. Infinite-word topic models for digital media. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/2152/24968.

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

Council of Science Editors:

Waters AS. Infinite-word topic models for digital media. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/24968

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


Rice University

13. Pansare, Niketan. Large Scale Online Aggregation Via Distributed Systems.

Degree: PhD, Engineering, 2014, Rice University

 From movie recommendations to fraud detection to personalized health care, there is growing need to analyze huge amounts of data quickly. To deal with huge… (more)

Subjects/Keywords: Online aggregation; Gradient Descent; MapReduce; Hadoop; Topic Models

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Pansare, N. (2014). Large Scale Online Aggregation Via Distributed Systems. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/88434

Chicago Manual of Style (16th Edition):

Pansare, Niketan. “Large Scale Online Aggregation Via Distributed Systems.” 2014. Doctoral Dissertation, Rice University. Accessed April 19, 2019. http://hdl.handle.net/1911/88434.

MLA Handbook (7th Edition):

Pansare, Niketan. “Large Scale Online Aggregation Via Distributed Systems.” 2014. Web. 19 Apr 2019.

Vancouver:

Pansare N. Large Scale Online Aggregation Via Distributed Systems. [Internet] [Doctoral dissertation]. Rice University; 2014. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1911/88434.

Council of Science Editors:

Pansare N. Large Scale Online Aggregation Via Distributed Systems. [Doctoral Dissertation]. Rice University; 2014. Available from: http://hdl.handle.net/1911/88434


University of Sydney

14. Steinberg, Daniel. An Unsupervised Approach to Modelling Visual Data .

Degree: 2013, University of Sydney

 For very large visual datasets, producing expert ground-truth data for training supervised algorithms can represent a substantial human effort. In these situations there is scope… (more)

Subjects/Keywords: Scene understanding; unsupervised learning; clustering; hierarchical Bayesian models; topic models; variational Bayes

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Steinberg, D. (2013). An Unsupervised Approach to Modelling Visual Data . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9415

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

Chicago Manual of Style (16th Edition):

Steinberg, Daniel. “An Unsupervised Approach to Modelling Visual Data .” 2013. Thesis, University of Sydney. Accessed April 19, 2019. http://hdl.handle.net/2123/9415.

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

MLA Handbook (7th Edition):

Steinberg, Daniel. “An Unsupervised Approach to Modelling Visual Data .” 2013. Web. 19 Apr 2019.

Vancouver:

Steinberg D. An Unsupervised Approach to Modelling Visual Data . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/2123/9415.

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

Council of Science Editors:

Steinberg D. An Unsupervised Approach to Modelling Visual Data . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9415

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


University of Illinois – Urbana-Champaign

15. Mei, Qiaozhu. Contextual text mining.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

 With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text.… (more)

Subjects/Keywords: contextual text mining; contextual topic analysis; Language Modeling; probabilistic topic models; context analysis; graph-based regularization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mei, Q. (2010). Contextual text mining. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14707

Chicago Manual of Style (16th Edition):

Mei, Qiaozhu. “Contextual text mining.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 19, 2019. http://hdl.handle.net/2142/14707.

MLA Handbook (7th Edition):

Mei, Qiaozhu. “Contextual text mining.” 2010. Web. 19 Apr 2019.

Vancouver:

Mei Q. Contextual text mining. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/2142/14707.

Council of Science Editors:

Mei Q. Contextual text mining. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14707

16. Elshamy, Wesam Samy. Continuous-time infinite dynamic topic models.

Degree: PhD, Department of Computing and Information Sciences, 2013, Kansas State University

Topic models are probabilistic models for discovering topical themes in collections of documents. In real world applications, these models provide us with the means of… (more)

Subjects/Keywords: Machine learning; Topic models; Statistical models; Artificial intelligence; Graphical models; Bayesian statistics; Applied Mathematics (0364); Artificial Intelligence (0800); Computer Science (0984)

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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Elshamy, W. S. (2013). Continuous-time infinite dynamic topic models. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/15176

Chicago Manual of Style (16th Edition):

Elshamy, Wesam Samy. “Continuous-time infinite dynamic topic models.” 2013. Doctoral Dissertation, Kansas State University. Accessed April 19, 2019. http://hdl.handle.net/2097/15176.

MLA Handbook (7th Edition):

Elshamy, Wesam Samy. “Continuous-time infinite dynamic topic models.” 2013. Web. 19 Apr 2019.

Vancouver:

Elshamy WS. Continuous-time infinite dynamic topic models. [Internet] [Doctoral dissertation]. Kansas State University; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/2097/15176.

Council of Science Editors:

Elshamy WS. Continuous-time infinite dynamic topic models. [Doctoral Dissertation]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/15176


Brunel University

17. Liu, Zelong. High performance latent dirichlet allocation for text mining.

Degree: PhD, 2013, Brunel University

 Latent Dirichlet Allocation (LDA), a total probability generative model, is a three-tier Bayesian model. LDA computes the latent topic structure of the data and obtains… (more)

Subjects/Keywords: 006.3; Probabilistic topic models; Text classification; Noisy data reduction; Parallel computing; static load balancing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liu, Z. (2013). High performance latent dirichlet allocation for text mining. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7726 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582919

Chicago Manual of Style (16th Edition):

Liu, Zelong. “High performance latent dirichlet allocation for text mining.” 2013. Doctoral Dissertation, Brunel University. Accessed April 19, 2019. http://bura.brunel.ac.uk/handle/2438/7726 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582919.

MLA Handbook (7th Edition):

Liu, Zelong. “High performance latent dirichlet allocation for text mining.” 2013. Web. 19 Apr 2019.

Vancouver:

Liu Z. High performance latent dirichlet allocation for text mining. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2019 Apr 19]. Available from: http://bura.brunel.ac.uk/handle/2438/7726 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582919.

Council of Science Editors:

Liu Z. High performance latent dirichlet allocation for text mining. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/7726 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582919


Penn State University

18. Soleimani Bajestani, Hossein. Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora.

Degree: PhD, Electrical Engineering, 2016, Penn State University

 In this dissertation, we propose probabilistic models for processing large collections of unstructured and sparingly labeled text corpora. We develop our methods for performing challenging… (more)

Subjects/Keywords: Machine Learning; Topic Models; Anomaly Detection; Semi-supervised Learning; Text Modeling; Credit Attribution

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Soleimani Bajestani, H. (2016). Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/hd76s0057

Chicago Manual of Style (16th Edition):

Soleimani Bajestani, Hossein. “Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora.” 2016. Doctoral Dissertation, Penn State University. Accessed April 19, 2019. https://etda.libraries.psu.edu/catalog/hd76s0057.

MLA Handbook (7th Edition):

Soleimani Bajestani, Hossein. “Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora.” 2016. Web. 19 Apr 2019.

Vancouver:

Soleimani Bajestani H. Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora. [Internet] [Doctoral dissertation]. Penn State University; 2016. [cited 2019 Apr 19]. Available from: https://etda.libraries.psu.edu/catalog/hd76s0057.

Council of Science Editors:

Soleimani Bajestani H. Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora. [Doctoral Dissertation]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/hd76s0057


University of Toronto

19. Deshwar, Amit Gulab. Tumor Gene Expression Purification Using Infinite Mixture Topic Models.

Degree: 2013, University of Toronto

There is significant interest in using gene expression measurements to aid in the personalization of medical treatment. The presence of significant normal tissue contamination in… (more)

Subjects/Keywords: Bayesian methods; Gene expression purficiation; Bayesian Nonparametric; Topic models; 0984; 0800; 0544

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Deshwar, A. G. (2013). Tumor Gene Expression Purification Using Infinite Mixture Topic Models. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/35597

Chicago Manual of Style (16th Edition):

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Masters Thesis, University of Toronto. Accessed April 19, 2019. http://hdl.handle.net/1807/35597.

MLA Handbook (7th Edition):

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Web. 19 Apr 2019.

Vancouver:

Deshwar AG. Tumor Gene Expression Purification Using Infinite Mixture Topic Models. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1807/35597.

Council of Science Editors:

Deshwar AG. Tumor Gene Expression Purification Using Infinite Mixture Topic Models. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/35597


Carnegie Mellon University

20. Sun, Feng-Tso. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.

Degree: 2014, Carnegie Mellon University

 Recent advances in sensor technologies and the growing interest in context- aware applications, such as targeted advertising and location-based services, have led to a demand… (more)

Subjects/Keywords: Activity recognition; machine learning; topic modeling; nonparametric Bayesian; probabilistic graphical models; context-aware systems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sun, F. (2014). Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/359

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

Chicago Manual of Style (16th Edition):

Sun, Feng-Tso. “Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.” 2014. Thesis, Carnegie Mellon University. Accessed April 19, 2019. http://repository.cmu.edu/dissertations/359.

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

MLA Handbook (7th Edition):

Sun, Feng-Tso. “Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.” 2014. Web. 19 Apr 2019.

Vancouver:

Sun F. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2019 Apr 19]. Available from: http://repository.cmu.edu/dissertations/359.

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

Council of Science Editors:

Sun F. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. [Thesis]. Carnegie Mellon University; 2014. Available from: http://repository.cmu.edu/dissertations/359

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


University of California – Santa Cruz

21. Caballero Barajas, Karla Lizbeth. Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare.

Degree: Electrical Engineering, 2015, University of California – Santa Cruz

 Statistical Topic Models has been widely studied in Text Mining as an effective approach to extract latent topics from unstructured text documents. We present a… (more)

Subjects/Keywords: Information technology; Statistics; Information science; Document Retrieval; Dynamic Prediction; Time Series; Topic Models

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Caballero Barajas, K. L. (2015). Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/96m0z634

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

Chicago Manual of Style (16th Edition):

Caballero Barajas, Karla Lizbeth. “Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare.” 2015. Thesis, University of California – Santa Cruz. Accessed April 19, 2019. http://www.escholarship.org/uc/item/96m0z634.

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

MLA Handbook (7th Edition):

Caballero Barajas, Karla Lizbeth. “Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare.” 2015. Web. 19 Apr 2019.

Vancouver:

Caballero Barajas KL. Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2019 Apr 19]. Available from: http://www.escholarship.org/uc/item/96m0z634.

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

Council of Science Editors:

Caballero Barajas KL. Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare. [Thesis]. University of California – Santa Cruz; 2015. Available from: http://www.escholarship.org/uc/item/96m0z634

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


University of Southern California

22. Ettelaie, Emil. Concept classification with application to speech to speech translation.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 The central goal in interactive speech-to-speech translation applications is to facilitate the accurate exchange of the semantic content (or "concept") of the speech between the… (more)

Subjects/Keywords: dialog models; semantic classification; sentence clustering; speech translation; spoken language understanding; topic modeling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ettelaie, E. (2011). Concept classification with application to speech to speech translation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/470846/rec/1561

Chicago Manual of Style (16th Edition):

Ettelaie, Emil. “Concept classification with application to speech to speech translation.” 2011. Doctoral Dissertation, University of Southern California. Accessed April 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/470846/rec/1561.

MLA Handbook (7th Edition):

Ettelaie, Emil. “Concept classification with application to speech to speech translation.” 2011. Web. 19 Apr 2019.

Vancouver:

Ettelaie E. Concept classification with application to speech to speech translation. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Apr 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/470846/rec/1561.

Council of Science Editors:

Ettelaie E. Concept classification with application to speech to speech translation. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/470846/rec/1561

23. Thonet, Thibaut. Modèles thématiques pour la découverte non supervisée de points de vue sur le Web : Topic Models for Unsupervised Discovery of Viewpoints on the Web.

Degree: Docteur es, Informatique, 2017, Université Toulouse III – Paul Sabatier

Les plateformes en ligne telles que les blogs et les réseaux sociaux permettent aux internautes de s'exprimer sur des sujets d'une grande variété (produits commerciaux,… (more)

Subjects/Keywords: Fouille d'opinions; Fouille de points de vue; Modèles thématiques; Opinion mining; Viewpoint mining; Topic models

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Thonet, T. (2017). Modèles thématiques pour la découverte non supervisée de points de vue sur le Web : Topic Models for Unsupervised Discovery of Viewpoints on the Web. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2017TOU30167

Chicago Manual of Style (16th Edition):

Thonet, Thibaut. “Modèles thématiques pour la découverte non supervisée de points de vue sur le Web : Topic Models for Unsupervised Discovery of Viewpoints on the Web.” 2017. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed April 19, 2019. http://www.theses.fr/2017TOU30167.

MLA Handbook (7th Edition):

Thonet, Thibaut. “Modèles thématiques pour la découverte non supervisée de points de vue sur le Web : Topic Models for Unsupervised Discovery of Viewpoints on the Web.” 2017. Web. 19 Apr 2019.

Vancouver:

Thonet T. Modèles thématiques pour la découverte non supervisée de points de vue sur le Web : Topic Models for Unsupervised Discovery of Viewpoints on the Web. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2017. [cited 2019 Apr 19]. Available from: http://www.theses.fr/2017TOU30167.

Council of Science Editors:

Thonet T. Modèles thématiques pour la découverte non supervisée de points de vue sur le Web : Topic Models for Unsupervised Discovery of Viewpoints on the Web. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2017. Available from: http://www.theses.fr/2017TOU30167

24. Omar, Farheen. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.

Degree: 2016, University of Waterloo

 Probabilistic Graphical Models are often used to e fficiently encode uncertainty in real world problems as probability distributions. Bayesian learning allows us to compute a… (more)

Subjects/Keywords: Machine Learning; Artificial Intelligence; Bayesian Learning; Probabilistic Graphical Models; Topic Modeling; Activity Recognition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Omar, F. (2016). Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10499

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

Chicago Manual of Style (16th Edition):

Omar, Farheen. “Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.” 2016. Thesis, University of Waterloo. Accessed April 19, 2019. http://hdl.handle.net/10012/10499.

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

MLA Handbook (7th Edition):

Omar, Farheen. “Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.” 2016. Web. 19 Apr 2019.

Vancouver:

Omar F. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10012/10499.

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

Council of Science Editors:

Omar F. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10499

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

25. Podosinnikova, Anastasia. Sur la méthode des moments pour l'estimation des modèles à variables latentes : On the method of moments for estimation in latent linear models.

Degree: Docteur es, Informatique, 2016, Paris Sciences et Lettres

Les modèles linéaires latents sont des modèles statistique puissants pour extraire la structure latente utile à partir de données non structurées par ailleurs. Ces modèles… (more)

Subjects/Keywords: Modèles thématiques; Modèles à variables latentes; Méthode des moments; Topic models; Latent variable models; Method of moments; 004

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Podosinnikova, A. (2016). Sur la méthode des moments pour l'estimation des modèles à variables latentes : On the method of moments for estimation in latent linear models. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2016PSLEE050

Chicago Manual of Style (16th Edition):

Podosinnikova, Anastasia. “Sur la méthode des moments pour l'estimation des modèles à variables latentes : On the method of moments for estimation in latent linear models.” 2016. Doctoral Dissertation, Paris Sciences et Lettres. Accessed April 19, 2019. http://www.theses.fr/2016PSLEE050.

MLA Handbook (7th Edition):

Podosinnikova, Anastasia. “Sur la méthode des moments pour l'estimation des modèles à variables latentes : On the method of moments for estimation in latent linear models.” 2016. Web. 19 Apr 2019.

Vancouver:

Podosinnikova A. Sur la méthode des moments pour l'estimation des modèles à variables latentes : On the method of moments for estimation in latent linear models. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2016. [cited 2019 Apr 19]. Available from: http://www.theses.fr/2016PSLEE050.

Council of Science Editors:

Podosinnikova A. Sur la méthode des moments pour l'estimation des modèles à variables latentes : On the method of moments for estimation in latent linear models. [Doctoral Dissertation]. Paris Sciences et Lettres; 2016. Available from: http://www.theses.fr/2016PSLEE050


University of Arkansas

26. Chung, Ming-Hua. Probabilistic Graphical Modeling on Big Data.

Degree: PhD, 2015, University of Arkansas

  The rise of Big Data in recent years brings many challenges to modern statistical analysis and modeling. In toxicogenomics, the advancement of high-throughput screening… (more)

Subjects/Keywords: Pure sciences; Applied sciences; Bayesian nonparametric; Big data; Probabilistic graphical models; Social networks; Topic models; Toxicogenomics; Applied Statistics; Categorical Data Analysis

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chung, M. (2015). Probabilistic Graphical Modeling on Big Data. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/1415

Chicago Manual of Style (16th Edition):

Chung, Ming-Hua. “Probabilistic Graphical Modeling on Big Data.” 2015. Doctoral Dissertation, University of Arkansas. Accessed April 19, 2019. https://scholarworks.uark.edu/etd/1415.

MLA Handbook (7th Edition):

Chung, Ming-Hua. “Probabilistic Graphical Modeling on Big Data.” 2015. Web. 19 Apr 2019.

Vancouver:

Chung M. Probabilistic Graphical Modeling on Big Data. [Internet] [Doctoral dissertation]. University of Arkansas; 2015. [cited 2019 Apr 19]. Available from: https://scholarworks.uark.edu/etd/1415.

Council of Science Editors:

Chung M. Probabilistic Graphical Modeling on Big Data. [Doctoral Dissertation]. University of Arkansas; 2015. Available from: https://scholarworks.uark.edu/etd/1415


Queensland University of Technology

27. Bashar, Md Abul. A Personalised ontology framework for interpreting discovered knowledge in text information.

Degree: 2017, Queensland University of Technology

 Many text mining techniques have been developed to discover useful knowledge from text data. However, they produce a large body of knowledge without semantic information,… (more)

Subjects/Keywords: Knowledge Interpretation; Personalised Ontology; User Information Needs; Annotating Topic Models; Annotating Patterns; Information Filtering; Topic Modelling; Pattern Mining; Web Intelligence; Text Mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bashar, M. A. (2017). A Personalised ontology framework for interpreting discovered knowledge in text information. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/105561/

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

Chicago Manual of Style (16th Edition):

Bashar, Md Abul. “A Personalised ontology framework for interpreting discovered knowledge in text information.” 2017. Thesis, Queensland University of Technology. Accessed April 19, 2019. https://eprints.qut.edu.au/105561/.

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

MLA Handbook (7th Edition):

Bashar, Md Abul. “A Personalised ontology framework for interpreting discovered knowledge in text information.” 2017. Web. 19 Apr 2019.

Vancouver:

Bashar MA. A Personalised ontology framework for interpreting discovered knowledge in text information. [Internet] [Thesis]. Queensland University of Technology; 2017. [cited 2019 Apr 19]. Available from: https://eprints.qut.edu.au/105561/.

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

Council of Science Editors:

Bashar MA. A Personalised ontology framework for interpreting discovered knowledge in text information. [Thesis]. Queensland University of Technology; 2017. Available from: https://eprints.qut.edu.au/105561/

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


Linköping University

28. Lindblad, Simon. Labeling Clinical Reports with Active Learning and Topic Modeling.

Degree: Human-Centered systems, 2018, Linköping University

  Supervised machine learning models require a labeled data set of high quality in order to perform well. Available text data often exists in abundance,… (more)

Subjects/Keywords: active learning; topic modeling; topic models; Maximum Loss Reduction with Maximum Confidence; Binary Version Space Minimization; Clinical Reports; Computer Sciences; Datavetenskap (datalogi)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lindblad, S. (2018). Labeling Clinical Reports with Active Learning and Topic Modeling. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148463

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

Chicago Manual of Style (16th Edition):

Lindblad, Simon. “Labeling Clinical Reports with Active Learning and Topic Modeling.” 2018. Thesis, Linköping University. Accessed April 19, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148463.

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

MLA Handbook (7th Edition):

Lindblad, Simon. “Labeling Clinical Reports with Active Learning and Topic Modeling.” 2018. Web. 19 Apr 2019.

Vancouver:

Lindblad S. Labeling Clinical Reports with Active Learning and Topic Modeling. [Internet] [Thesis]. Linköping University; 2018. [cited 2019 Apr 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148463.

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

Council of Science Editors:

Lindblad S. Labeling Clinical Reports with Active Learning and Topic Modeling. [Thesis]. Linköping University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148463

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

29. Sathi, Veer Reddy. A Quality Criteria Based Evaluation of Topic Models.

Degree: 2016, , Department of Software Engineering

  Context. Software testing is the process, where a particular software product, or a system is executed, in order to find out the bugs, or… (more)

Subjects/Keywords: Topic models; Topic interpretability; Test cases; Latent Dirichlet Allocation; Topic model optimization; Software Engineering; Programvaruteknik

…46 TABLE 19: AVERAGE METRICS VALUES OF THE TOPIC MODELS… …56 TABLE 22: APPENDIX FOR TOPIC MODELS… …lot of attention in the area of text mining [8]. Probabilistic topic models are… …hidden thematic structure in the datasets, the topic models also allow us to know the relation… …topic models can also be harnessed within the field of software engineering. In order to save… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sathi, V. R. (2016). A Quality Criteria Based Evaluation of Topic Models. (Thesis). , Department of Software Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13274

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

Chicago Manual of Style (16th Edition):

Sathi, Veer Reddy. “A Quality Criteria Based Evaluation of Topic Models.” 2016. Thesis, , Department of Software Engineering. Accessed April 19, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13274.

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

MLA Handbook (7th Edition):

Sathi, Veer Reddy. “A Quality Criteria Based Evaluation of Topic Models.” 2016. Web. 19 Apr 2019.

Vancouver:

Sathi VR. A Quality Criteria Based Evaluation of Topic Models. [Internet] [Thesis]. , Department of Software Engineering; 2016. [cited 2019 Apr 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13274.

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

Council of Science Editors:

Sathi VR. A Quality Criteria Based Evaluation of Topic Models. [Thesis]. , Department of Software Engineering; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13274

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

30. Χρηστίδης, Κωνσταντίνος. Συστήματα προτάσεων με πιθανοτικά μοντέλα θεμάτων.

Degree: 2013, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

This doctoral thesis is positioned in the research area of decision support systems and specifically in recommender systems. It focuses on the design and development… (more)

Subjects/Keywords: Συστήματα προτάσεων; Πιθανοτική λανθάνουσα σημασιολογική ανάλυση; Πιθανοτικά μοντέλα θεμάτων; Recommender systems; Probabilistic latent semantic analysis; Probabilistic topic models

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Χρηστίδης, . . (2013). Συστήματα προτάσεων με πιθανοτικά μοντέλα θεμάτων. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/29091

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

Chicago Manual of Style (16th Edition):

Χρηστίδης, Κωνσταντίνος. “Συστήματα προτάσεων με πιθανοτικά μοντέλα θεμάτων.” 2013. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed April 19, 2019. http://hdl.handle.net/10442/hedi/29091.

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

MLA Handbook (7th Edition):

Χρηστίδης, Κωνσταντίνος. “Συστήματα προτάσεων με πιθανοτικά μοντέλα θεμάτων.” 2013. Web. 19 Apr 2019.

Vancouver:

Χρηστίδης . Συστήματα προτάσεων με πιθανοτικά μοντέλα θεμάτων. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10442/hedi/29091.

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

Council of Science Editors:

Χρηστίδης . Συστήματα προτάσεων με πιθανοτικά μοντέλα θεμάτων. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2013. Available from: http://hdl.handle.net/10442/hedi/29091

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

[1] [2] [3]

.