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You searched for `subject:(Matrix factorization)`

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220 total matches.

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- 2015 – 2019 (122)
- 2010 – 2014 (78)
- 2005 – 2009 (22)

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- PhD (39)
- Docteur es (35)
- MS (20)
- Master (12)

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Texas A&M University

1.
Belsare, Aditya Sanjay.
Sparse LU *Factorization* for Large Circuit Matrices on Heterogenous Parallel Computing Platforms.

Degree: 2014, Texas A&M University

URL: http://hdl.handle.net/1969.1/153210

► Direct sparse solvers are traditionally known to be robust, yet difficult to parallelize. In the context of circuit simulators, they present an important bottleneck where…
(more)

Subjects/Keywords: Sparse matrix solver; LU Factorization

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

APA (6^{th} Edition):

Belsare, A. S. (2014). Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153210

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):

Belsare, Aditya Sanjay. “Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms.” 2014. Thesis, Texas A&M University. Accessed April 22, 2019. http://hdl.handle.net/1969.1/153210.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Belsare, Aditya Sanjay. “Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms.” 2014. Web. 22 Apr 2019.

Vancouver:

Belsare AS. Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1969.1/153210.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Belsare AS. Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153210

Not specified: Masters Thesis or Doctoral Dissertation

University of New Mexico

2.
Potluru, Vamsi.
*Matrix**Factorization*: Nonnegativity, Sparsity and Independence.

Degree: Department of Computer Science, 2014, University of New Mexico

URL: http://hdl.handle.net/1928/24336

► *Matrix* *factorization* arises in a wide range of application domains and is useful for extracting the latent features in the dataset. Examples include recommender systems,…
(more)

Subjects/Keywords: Matrix factorization; Nonnegativity; Sparsity; Independence

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APA (6^{th} Edition):

Potluru, V. (2014). Matrix Factorization: Nonnegativity, Sparsity and Independence. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/24336

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

Potluru, Vamsi. “Matrix Factorization: Nonnegativity, Sparsity and Independence.” 2014. Doctoral Dissertation, University of New Mexico. Accessed April 22, 2019. http://hdl.handle.net/1928/24336.

MLA Handbook (7^{th} Edition):

Potluru, Vamsi. “Matrix Factorization: Nonnegativity, Sparsity and Independence.” 2014. Web. 22 Apr 2019.

Vancouver:

Potluru V. Matrix Factorization: Nonnegativity, Sparsity and Independence. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1928/24336.

Council of Science Editors:

Potluru V. Matrix Factorization: Nonnegativity, Sparsity and Independence. [Doctoral Dissertation]. University of New Mexico; 2014. Available from: http://hdl.handle.net/1928/24336

3. -7585-6925. Distributed and dynamic factor modeling of online data.

Degree: Electrical and Computer Engineering, 2017, University of Texas – Austin

URL: http://hdl.handle.net/2152/62065

► The domain of data mining and machine learning has expanded rapidly in recent years to include both large-scale distributed and streaming computation. Although many open-source…
(more)

Subjects/Keywords: Distributed clustering; Dynamic clustering; Matrix factorization; Co-factorization

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APA (6^{th} Edition):

-7585-6925. (2017). Distributed and dynamic factor modeling of online data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62065

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):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Thesis, University of Texas – Austin. Accessed April 22, 2019. http://hdl.handle.net/2152/62065.

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):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Web. 22 Apr 2019.

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

Author name may be incomplete

Vancouver:

-7585-6925. Distributed and dynamic factor modeling of online data. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/2152/62065.

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:

-7585-6925. Distributed and dynamic factor modeling of online data. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62065

Author name may be incomplete

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

4.
Chang, Cheng-Jui.
Cuisine Discovery based on Recipe-Ingredient Network and *Matrix* * Factorization*.

Degree: Master, Information Management, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940

► This research proposes an approach to find the cuisines, the types of dishes, from the recipes, ingredients and methods of producing dishes. We believe that…
(more)

Subjects/Keywords: clustering; network; recommendation; matrix factorization; text mining

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APA (6^{th} Edition):

Chang, C. (2017). Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940

Not specified: Masters Thesis or Doctoral Dissertation

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

Chang, Cheng-Jui. “Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization.” 2017. Thesis, NSYSU. Accessed April 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chang, Cheng-Jui. “Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization.” 2017. Web. 22 Apr 2019.

Vancouver:

Chang C. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Apr 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang C. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940

Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

5. Yu, Hsiang-Fu. Scalable algorithms for latent variable models in machine learning.

Degree: Computer Sciences, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/41635

► Latent variable modeling (LVM) is a popular approach in many machine learning applications, such as recommender systems and topic modeling, due to its ability to…
(more)

Subjects/Keywords: Latent variable modeling; Matrix factorization; Algorithms; Data

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APA (6^{th} Edition):

Yu, H. (2016). Scalable algorithms for latent variable models in machine learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41635

Not specified: Masters Thesis or Doctoral Dissertation

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

Yu, Hsiang-Fu. “Scalable algorithms for latent variable models in machine learning.” 2016. Thesis, University of Texas – Austin. Accessed April 22, 2019. http://hdl.handle.net/2152/41635.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yu, Hsiang-Fu. “Scalable algorithms for latent variable models in machine learning.” 2016. Web. 22 Apr 2019.

Vancouver:

Yu H. Scalable algorithms for latent variable models in machine learning. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/2152/41635.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu H. Scalable algorithms for latent variable models in machine learning. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41635

Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

6. Luo, Cheng. Temporal Dynamics in Recommender Systems.

Degree: Computer Science & Engineering, 2016, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/55939 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39683/SOURCE02?view=true

► In real-world scenarios, user preferences for items are constantly drifting over time as item perception and popularity are changing when new fashions or products emerge.…
(more)

Subjects/Keywords: matrix factorization; recommender systems; temporal dynamics

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

APA (6^{th} Edition):

Luo, C. (2016). Temporal Dynamics in Recommender Systems. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55939 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39683/SOURCE02?view=true

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

Luo, Cheng. “Temporal Dynamics in Recommender Systems.” 2016. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2019. http://handle.unsw.edu.au/1959.4/55939 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39683/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Luo, Cheng. “Temporal Dynamics in Recommender Systems.” 2016. Web. 22 Apr 2019.

Vancouver:

Luo C. Temporal Dynamics in Recommender Systems. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2019 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/55939 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39683/SOURCE02?view=true.

Council of Science Editors:

Luo C. Temporal Dynamics in Recommender Systems. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/55939 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39683/SOURCE02?view=true

University of Minnesota

7.
Mosesov, Artem.
Adaptive Non-negative Least Squares with Applications to Non-Negative *Matrix* * Factorization*.

Degree: M.S.E.E., Electrical Engineering, 2014, University of Minnesota

URL: http://hdl.handle.net/11299/173949

► Problems with non-negativity constrains have recently attracted a great deal of interest. Non-negativity constraints arise naturally in many applications, and are often necessary for proper…
(more)

Subjects/Keywords: least squares; matrix factorization; NMF; NNLS; Nonnegative

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APA (6^{th} Edition):

Mosesov, A. (2014). Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/173949

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

Mosesov, Artem. “Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization.” 2014. Masters Thesis, University of Minnesota. Accessed April 22, 2019. http://hdl.handle.net/11299/173949.

MLA Handbook (7^{th} Edition):

Mosesov, Artem. “Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization.” 2014. Web. 22 Apr 2019.

Vancouver:

Mosesov A. Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization. [Internet] [Masters thesis]. University of Minnesota; 2014. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/11299/173949.

Council of Science Editors:

Mosesov A. Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization. [Masters Thesis]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/173949

University of Minnesota

8.
Sun, Ruoyu.
* Matrix* Completion via Nonconvex

Degree: PhD, Electrical/Computer Engineering, 2015, University of Minnesota

URL: http://hdl.handle.net/11299/175344

► Learning low-rank structure of the data *matrix* is a powerful method to deal with ``big data''. However, in many modern applications such as recommendation systems…
(more)

Subjects/Keywords: alternating minimization; matrix completion; matrix factorization; nonconvex; optimization; SGD

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APA (6^{th} Edition):

Sun, R. (2015). Matrix Completion via Nonconvex Factorization: Algorithms and Theory. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175344

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

Sun, Ruoyu. “Matrix Completion via Nonconvex Factorization: Algorithms and Theory.” 2015. Doctoral Dissertation, University of Minnesota. Accessed April 22, 2019. http://hdl.handle.net/11299/175344.

MLA Handbook (7^{th} Edition):

Sun, Ruoyu. “Matrix Completion via Nonconvex Factorization: Algorithms and Theory.” 2015. Web. 22 Apr 2019.

Vancouver:

Sun R. Matrix Completion via Nonconvex Factorization: Algorithms and Theory. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/11299/175344.

Council of Science Editors:

Sun R. Matrix Completion via Nonconvex Factorization: Algorithms and Theory. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175344

University of Technology, Sydney

9. Li, Fangfang. Incorporating couplings into collaborative filtering.

Degree: 2016, University of Technology, Sydney

URL: http://hdl.handle.net/10453/44174

► Recommender Systems (RS) have been proposed to help users tackle information overload by suggesting potentially interesting items to users. A typical RS usually has a…
(more)

Subjects/Keywords: Recommender Systems (RS).; Collaborative Filtering (CF).; Hybrid Filtering.; Coupling.; Coupled user-based matrix factorization (CUMF).; Coupled item-based matrix factorization (CIMF).; Coupled matrix factorization (CMF).

Record Details Similar Records

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APA (6^{th} Edition):

Li, F. (2016). Incorporating couplings into collaborative filtering. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/44174

Not specified: Masters Thesis or Doctoral Dissertation

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

Li, Fangfang. “Incorporating couplings into collaborative filtering.” 2016. Thesis, University of Technology, Sydney. Accessed April 22, 2019. http://hdl.handle.net/10453/44174.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Li, Fangfang. “Incorporating couplings into collaborative filtering.” 2016. Web. 22 Apr 2019.

Vancouver:

Li F. Incorporating couplings into collaborative filtering. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/10453/44174.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li F. Incorporating couplings into collaborative filtering. [Thesis]. University of Technology, Sydney; 2016. Available from: http://hdl.handle.net/10453/44174

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

10.
Yang, Wan-Chen.
Topic Evolution Discovery based on Regularized *Matrix* * Factorization*.

Degree: Master, Information Management, 2018, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310

► In this thesis, we propose Hierarchical Non-negative *Matrix* *Factorization*(hNMF) to discover the hierarchical correlation among topics. The topics in lower layers are more concrete, whereas…
(more)

Subjects/Keywords: Topic model; Hierarchical model; Non-negative matrix factorization; Hierarchical Non-negative matrix factorization; Topic classification; Topic evolution discovery; Multi-layer topic

Record Details Similar Records

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APA (6^{th} Edition):

Yang, W. (2018). Topic Evolution Discovery based on Regularized Matrix Factorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310

Not specified: Masters Thesis or Doctoral Dissertation

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

Yang, Wan-Chen. “Topic Evolution Discovery based on Regularized Matrix Factorization.” 2018. Thesis, NSYSU. Accessed April 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yang, Wan-Chen. “Topic Evolution Discovery based on Regularized Matrix Factorization.” 2018. Web. 22 Apr 2019.

Vancouver:

Yang W. Topic Evolution Discovery based on Regularized Matrix Factorization. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Apr 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang W. Topic Evolution Discovery based on Regularized Matrix Factorization. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Irvine

11.
Pezeshkpour, Pouya.
Compact *Factorization* of Matrices Using Generalized Round-Rank.

Degree: Electrical and Computer Engineering, 2018, University of California – Irvine

URL: http://www.escholarship.org/uc/item/9x58b95k

► *Matrix* *factorization* is a popular machine learning technique, with applications invariety of domains, such as recommendation systems [16, 28], natural language processing[26], and computer vision…
(more)

Subjects/Keywords: Electrical engineering; Computer science; Generalized Round-Rank; Linear Rank; Matrix Completion; Matrix Factorization

Record Details Similar Records

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

APA (6^{th} Edition):

Pezeshkpour, P. (2018). Compact Factorization of Matrices Using Generalized Round-Rank. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9x58b95k

Not specified: Masters Thesis or Doctoral Dissertation

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

Pezeshkpour, Pouya. “Compact Factorization of Matrices Using Generalized Round-Rank.” 2018. Thesis, University of California – Irvine. Accessed April 22, 2019. http://www.escholarship.org/uc/item/9x58b95k.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pezeshkpour, Pouya. “Compact Factorization of Matrices Using Generalized Round-Rank.” 2018. Web. 22 Apr 2019.

Vancouver:

Pezeshkpour P. Compact Factorization of Matrices Using Generalized Round-Rank. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2019 Apr 22]. Available from: http://www.escholarship.org/uc/item/9x58b95k.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pezeshkpour P. Compact Factorization of Matrices Using Generalized Round-Rank. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/9x58b95k

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

12. Sharma, Mohit. Preference modeling and Accuracy in Recommender Systems.

Degree: PhD, Computer Science, 2017, University of Minnesota

URL: http://hdl.handle.net/11299/192686

► Recommender systems are widely used to recommend the most appealing items to users. In this thesis, we focus on analyzing the accuracy of the state-of-the-art…
(more)

Subjects/Keywords: Cold-Start item recommendations; Collaborative filtering; Group of items; Matrix completion; Matrix factorization; Recommender systems

Record Details Similar Records

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

APA (6^{th} Edition):

Sharma, M. (2017). Preference modeling and Accuracy in Recommender Systems. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/192686

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

Sharma, Mohit. “Preference modeling and Accuracy in Recommender Systems.” 2017. Doctoral Dissertation, University of Minnesota. Accessed April 22, 2019. http://hdl.handle.net/11299/192686.

MLA Handbook (7^{th} Edition):

Sharma, Mohit. “Preference modeling and Accuracy in Recommender Systems.” 2017. Web. 22 Apr 2019.

Vancouver:

Sharma M. Preference modeling and Accuracy in Recommender Systems. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/11299/192686.

Council of Science Editors:

Sharma M. Preference modeling and Accuracy in Recommender Systems. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/192686

Dalhousie University

13. Toganassova, Dilyara. SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA.

Degree: Master of Applied Science, Department of Environmental Engineering, 2013, Dalhousie University

URL: http://hdl.handle.net/10222/21432

► This study investigated the source attribution of ship emissions to atmospheric particulate matter with a median aerodynamic diameter less than, or equal to 2.5 micron…
(more)

Subjects/Keywords: Source apportionment; PM2.5; USEPA Positive Matrix Factorization; sources (factors)

Record Details Similar Records

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APA (6^{th} Edition):

Toganassova, D. (2013). SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/21432

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

Toganassova, Dilyara. “SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA.” 2013. Masters Thesis, Dalhousie University. Accessed April 22, 2019. http://hdl.handle.net/10222/21432.

MLA Handbook (7^{th} Edition):

Toganassova, Dilyara. “SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA.” 2013. Web. 22 Apr 2019.

Vancouver:

Toganassova D. SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/10222/21432.

Council of Science Editors:

Toganassova D. SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA. [Masters Thesis]. Dalhousie University; 2013. Available from: http://hdl.handle.net/10222/21432

University of Ontario Institute of Technology

14. Shanks, Ryan A. Towards parallax-based unencumbered displays.

Degree: 2015, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/620

► We present an analysis of content adaptive parallax barriers used for multi-layer unencumbered displays. We explain the techniques involved in detail from the input light…
(more)

Subjects/Keywords: Computational displays; Content adaptive parallax barriers; Non-negative matrix factorization; Autostereoscopic

Record Details Similar Records

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APA (6^{th} Edition):

Shanks, R. A. (2015). Towards parallax-based unencumbered displays. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/620

Not specified: Masters Thesis or Doctoral Dissertation

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

Shanks, Ryan A. “Towards parallax-based unencumbered displays.” 2015. Thesis, University of Ontario Institute of Technology. Accessed April 22, 2019. http://hdl.handle.net/10155/620.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Shanks, Ryan A. “Towards parallax-based unencumbered displays.” 2015. Web. 22 Apr 2019.

Vancouver:

Shanks RA. Towards parallax-based unencumbered displays. [Internet] [Thesis]. University of Ontario Institute of Technology; 2015. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/10155/620.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shanks RA. Towards parallax-based unencumbered displays. [Thesis]. University of Ontario Institute of Technology; 2015. Available from: http://hdl.handle.net/10155/620

Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

15.
Liu, Bang.
* Matrix* and Tensor Approximation for Internet Latency
Prediction and Online Purchase Prediction.

Degree: MS, Department of Electrical and Computer Engineering, 2015, University of Alberta

URL: https://era.library.ualberta.ca/files/zw12z797h

► In this thesis, I study the application of *matrix* and tensor approximation techniques to Internet latency prediction and purchase prediction in e-commerce. Traditional approaches for…
(more)

Subjects/Keywords: Network Latency Prediction; Online Purchase Prediction; Matrix Factorization

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APA (6^{th} Edition):

Liu, B. (2015). Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/zw12z797h

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

Liu, Bang. “Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction.” 2015. Masters Thesis, University of Alberta. Accessed April 22, 2019. https://era.library.ualberta.ca/files/zw12z797h.

MLA Handbook (7^{th} Edition):

Liu, Bang. “Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction.” 2015. Web. 22 Apr 2019.

Vancouver:

Liu B. Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Apr 22]. Available from: https://era.library.ualberta.ca/files/zw12z797h.

Council of Science Editors:

Liu B. Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/zw12z797h

NSYSU

16.
Ku, Che-wen.
Topic Recommendation and Discovery based on *Matrix* * Factorization*.

Degree: Master, Information Management, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750

► Nowadays, there are more and more text documents on the Internet with the development of the Internet, because much information is related to text. Thus,…
(more)

Subjects/Keywords: Non-negative Matrix Factorization; Topic Discovery; Recommendation; Topic Modeling

Record Details Similar Records

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

APA (6^{th} Edition):

Ku, C. (2017). Topic Recommendation and Discovery based on Matrix Factorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750

Not specified: Masters Thesis or Doctoral Dissertation

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

Ku, Che-wen. “Topic Recommendation and Discovery based on Matrix Factorization.” 2017. Thesis, NSYSU. Accessed April 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ku, Che-wen. “Topic Recommendation and Discovery based on Matrix Factorization.” 2017. Web. 22 Apr 2019.

Vancouver:

Ku C. Topic Recommendation and Discovery based on Matrix Factorization. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Apr 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ku C. Topic Recommendation and Discovery based on Matrix Factorization. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

17. Lee, Sang Han. Estimating and testing of functional data with restrictions.

Degree: 2009, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-1626

► The objective of this dissertation is to develop a suitable statistical methodology for functional data analysis. Modern advanced technology allows researchers to collect samples as…
(more)

Subjects/Keywords: functional data; curve testing; non-negative matrix factorization

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

APA (6^{th} Edition):

Lee, S. H. (2009). Estimating and testing of functional data with restrictions. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1626

Not specified: Masters Thesis or Doctoral Dissertation

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

Lee, Sang Han. “Estimating and testing of functional data with restrictions.” 2009. Thesis, Texas A&M University. Accessed April 22, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1626.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lee, Sang Han. “Estimating and testing of functional data with restrictions.” 2009. Web. 22 Apr 2019.

Vancouver:

Lee SH. Estimating and testing of functional data with restrictions. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1626.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee SH. Estimating and testing of functional data with restrictions. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1626

Not specified: Masters Thesis or Doctoral Dissertation

Univerzitet u Beogradu

18. Kovačević, Renata M., 1970-. Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora.

Degree: Hemijski fakultet, 2017, Univerzitet u Beogradu

URL: https://fedorabg.bg.ac.rs/fedora/get/o:15475/bdef:Content/get

►

Hemija / Chemistry

U radu je analizirano ukupno 416 uzoraka frakcija respirabilnih čestica (PM10 i PM2.5), sakupljenih tokom 2009. i 2010. godine sa lokaliteta obdaništa… (more)

Subjects/Keywords: air pollution; respirable particles; copper smelter; arsenic; positive matrix factorization

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APA (6^{th} Edition):

Kovačević, Renata M., 1. (2017). Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:15475/bdef:Content/get

Not specified: Masters Thesis or Doctoral Dissertation

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

Kovačević, Renata M., 1970-. “Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora.” 2017. Thesis, Univerzitet u Beogradu. Accessed April 22, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:15475/bdef:Content/get.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kovačević, Renata M., 1970-. “Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora.” 2017. Web. 22 Apr 2019.

Vancouver:

Kovačević, Renata M. 1. Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora. [Internet] [Thesis]. Univerzitet u Beogradu; 2017. [cited 2019 Apr 22]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:15475/bdef:Content/get.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kovačević, Renata M. 1. Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora. [Thesis]. Univerzitet u Beogradu; 2017. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:15475/bdef:Content/get

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

19. Ma, Chuan-yuan. Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation.

Degree: Master, Information Management, 2014, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648

► It becomes a more and more popular approach to develop recommendation systems based on trust relationships on the social networks. While social information that explicitly…
(more)

Subjects/Keywords: K-Nearest Neighbor; Trust Transitivity; Distrust; Matrix Factorization; In-Degree

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

APA (6^{th} Edition):

Ma, C. (2014). Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648

Not specified: Masters Thesis or Doctoral Dissertation

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

Ma, Chuan-yuan. “Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation.” 2014. Thesis, NSYSU. Accessed April 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ma, Chuan-yuan. “Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation.” 2014. Web. 22 Apr 2019.

Vancouver:

Ma C. Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Apr 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ma C. Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

20. Tseng, Kuan-Yu. Context-aware Collaborative Filtering Methods for Multimedia Recommendation.

Degree: Master, Information Management, 2014, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019

► The rapid development of mobile device and multimedia allows us today to have extremely rich multimedia information sources. The numbers of data also increase rapidly…
(more)

Subjects/Keywords: Mobile Device; Collaborative Filtering; Matrix Factorization; Context-Awareness; Recommender System

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APA (6^{th} Edition):

Tseng, K. (2014). Context-aware Collaborative Filtering Methods for Multimedia Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019

Not specified: Masters Thesis or Doctoral Dissertation

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

Tseng, Kuan-Yu. “Context-aware Collaborative Filtering Methods for Multimedia Recommendation.” 2014. Thesis, NSYSU. Accessed April 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tseng, Kuan-Yu. “Context-aware Collaborative Filtering Methods for Multimedia Recommendation.” 2014. Web. 22 Apr 2019.

Vancouver:

Tseng K. Context-aware Collaborative Filtering Methods for Multimedia Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Apr 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tseng K. Context-aware Collaborative Filtering Methods for Multimedia Recommendation. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

21.
Hsieh, Sung-chen.
Computing the Numerical Nullity of Sylvester *Matrix* of Univariate Polynomials.

Degree: Master, Applied Mathematics, 2014, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1117114-104741

► Computing the greatest common divisor (GCD) of univariate polynomials is one of the fundamental algebraic problems with a long history. The classical Euclidean algorithm is…
(more)

Subjects/Keywords: numerical nullity; polynomial; greatest common divisor; Sylvester matrix; QR-factorization

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

APA (6^{th} Edition):

Hsieh, S. (2014). Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1117114-104741

Not specified: Masters Thesis or Doctoral Dissertation

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

Hsieh, Sung-chen. “Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials.” 2014. Thesis, NSYSU. Accessed April 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1117114-104741.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hsieh, Sung-chen. “Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials.” 2014. Web. 22 Apr 2019.

Vancouver:

Hsieh S. Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Apr 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1117114-104741.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hsieh S. Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1117114-104741

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

22. Yang, Tsung-Lin. Combining Trust Relationships and Super Users for Collaborative Recommendation.

Degree: Master, Information Management, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742

► The network and mobile communication develop very quickly in recent years. We could get the data easily online. However, the speed of data transformation is…
(more)

Subjects/Keywords: Collaborative Filtering; Recommendation System; Cold Start; Matrix Factorization; Trust

Record Details Similar Records

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

APA (6^{th} Edition):

Yang, T. (2017). Combining Trust Relationships and Super Users for Collaborative Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742

Not specified: Masters Thesis or Doctoral Dissertation

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

Yang, Tsung-Lin. “Combining Trust Relationships and Super Users for Collaborative Recommendation.” 2017. Thesis, NSYSU. Accessed April 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yang, Tsung-Lin. “Combining Trust Relationships and Super Users for Collaborative Recommendation.” 2017. Web. 22 Apr 2019.

Vancouver:

Yang T. Combining Trust Relationships and Super Users for Collaborative Recommendation. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Apr 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang T. Combining Trust Relationships and Super Users for Collaborative Recommendation. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

23.
Wang, Shih-hao.
Using Cloud Computing to Improve the Efficiency and Effectiveness of *Matrix* *Factorization* : A Case Study of Context-aware Data Set.

Degree: Master, Information Management, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746

► There are two types of methods often used to develop collaborative recommender systems. One is based on the similarity calculation and the other is based…
(more)

Subjects/Keywords: Context Aware; Matrix Factorization; Cloud Computing; Recommended System; Collaborative Filtering

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, S. (2017). Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746

Not specified: Masters Thesis or Doctoral Dissertation

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

Wang, Shih-hao. “Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set.” 2017. Thesis, NSYSU. Accessed April 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Shih-hao. “Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set.” 2017. Web. 22 Apr 2019.

Vancouver:

Wang S. Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Apr 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang S. Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746

Not specified: Masters Thesis or Doctoral Dissertation

Université de Montréal

24. Greavu, Cristina. Les polynômes orthogonaux matriciels et la méthode de factorisation .

Degree: 2014, Université de Montréal

URL: http://hdl.handle.net/1866/11873

La méthode de factorisation est appliquée sur les données initiales d'un problème de mécanique quantique déja résolu. Les solutions (états propres et fonctions propres) sont presque tous retrouvés.
*Advisors/Committee Members: Vinet, Luc (advisor).*

Subjects/Keywords: Polynôme; Ortogonaux; Matrice; Factorisation; Polynomials; Orthogonal; Matrix; Factorization

Record Details Similar Records

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

APA (6^{th} Edition):

Greavu, C. (2014). Les polynômes orthogonaux matriciels et la méthode de factorisation . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/11873

Not specified: Masters Thesis or Doctoral Dissertation

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

Greavu, Cristina. “Les polynômes orthogonaux matriciels et la méthode de factorisation .” 2014. Thesis, Université de Montréal. Accessed April 22, 2019. http://hdl.handle.net/1866/11873.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Greavu, Cristina. “Les polynômes orthogonaux matriciels et la méthode de factorisation .” 2014. Web. 22 Apr 2019.

Vancouver:

Greavu C. Les polynômes orthogonaux matriciels et la méthode de factorisation . [Internet] [Thesis]. Université de Montréal; 2014. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1866/11873.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Greavu C. Les polynômes orthogonaux matriciels et la méthode de factorisation . [Thesis]. Université de Montréal; 2014. Available from: http://hdl.handle.net/1866/11873

Not specified: Masters Thesis or Doctoral Dissertation

University of Georgia

25. Jahangeer, Khalid. An open science approach to exploring time-accuracy trade-offs in recommender systems.

Degree: MS, Computer Science, 2017, University of Georgia

URL: http://hdl.handle.net/10724/37801

► Recommender Systems have become an integral part of our consumer dominated world. With the evolution of Big Data and the exponential expansion of consumerism it…
(more)

Subjects/Keywords: Recommender Systems; Collaborative Filtering; Matrix Factorization; Singular Value Decomposition

Record Details Similar Records

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

APA (6^{th} Edition):

Jahangeer, K. (2017). An open science approach to exploring time-accuracy trade-offs in recommender systems. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37801

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

Jahangeer, Khalid. “An open science approach to exploring time-accuracy trade-offs in recommender systems.” 2017. Masters Thesis, University of Georgia. Accessed April 22, 2019. http://hdl.handle.net/10724/37801.

MLA Handbook (7^{th} Edition):

Jahangeer, Khalid. “An open science approach to exploring time-accuracy trade-offs in recommender systems.” 2017. Web. 22 Apr 2019.

Vancouver:

Jahangeer K. An open science approach to exploring time-accuracy trade-offs in recommender systems. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/10724/37801.

Council of Science Editors:

Jahangeer K. An open science approach to exploring time-accuracy trade-offs in recommender systems. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37801

Purdue University

26.
Kang, Jisun.
Improving a mesh segmentation algorithm based on non-negative *matrix* * factorization*.

Degree: MS, Computer Graphics Technology, 2016, Purdue University

URL: https://docs.lib.purdue.edu/open_access_theses/861

► 3D Mesh segmentation is used in various applications such as object recognition, reconstruction, and analyzing structure of meshes. The method for 3D mesh segmentation…
(more)

Subjects/Keywords: Applied sciences; Mesh segmentation; Non-negative matrix factorization; Computer Sciences

Record Details Similar Records

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

APA (6^{th} Edition):

Kang, J. (2016). Improving a mesh segmentation algorithm based on non-negative matrix factorization. (Thesis). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_theses/861

Not specified: Masters Thesis or Doctoral Dissertation

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

Kang, Jisun. “Improving a mesh segmentation algorithm based on non-negative matrix factorization.” 2016. Thesis, Purdue University. Accessed April 22, 2019. https://docs.lib.purdue.edu/open_access_theses/861.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kang, Jisun. “Improving a mesh segmentation algorithm based on non-negative matrix factorization.” 2016. Web. 22 Apr 2019.

Vancouver:

Kang J. Improving a mesh segmentation algorithm based on non-negative matrix factorization. [Internet] [Thesis]. Purdue University; 2016. [cited 2019 Apr 22]. Available from: https://docs.lib.purdue.edu/open_access_theses/861.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kang J. Improving a mesh segmentation algorithm based on non-negative matrix factorization. [Thesis]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_theses/861

Not specified: Masters Thesis or Doctoral Dissertation

University of Edinburgh

27. Hogg, Jonathan David. High performance Cholesky and symmetric indefinite factorizations with applications.

Degree: PhD, 2010, University of Edinburgh

URL: http://hdl.handle.net/1842/4892

► The process of factorizing a symmetric *matrix* using the Cholesky (LLT ) or indefinite (LDLT ) *factorization* of A allows the efficient solution of systems…
(more)

Subjects/Keywords: 518; symmetric matrix; Cholesky factorization; sparse symmetric linear systems; DAG-based

Record Details Similar Records

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

APA (6^{th} Edition):

Hogg, J. D. (2010). High performance Cholesky and symmetric indefinite factorizations with applications. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4892

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

Hogg, Jonathan David. “High performance Cholesky and symmetric indefinite factorizations with applications.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed April 22, 2019. http://hdl.handle.net/1842/4892.

MLA Handbook (7^{th} Edition):

Hogg, Jonathan David. “High performance Cholesky and symmetric indefinite factorizations with applications.” 2010. Web. 22 Apr 2019.

Vancouver:

Hogg JD. High performance Cholesky and symmetric indefinite factorizations with applications. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1842/4892.

Council of Science Editors:

Hogg JD. High performance Cholesky and symmetric indefinite factorizations with applications. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4892

Baylor University

28.
[No author].
Applications of full rank *factorization* to solving *matrix* equations
.

Degree: Mathematics., 1992, Baylor University

URL: http://hdl.handle.net/2104/9527

► In the study of matrices, we are always searching for tools which allow us to simplify our investigations. Because full rank factorizations exist for all…
(more)

Subjects/Keywords: matrix; mathematics; full rank factorization

Record Details Similar Records

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

APA (6^{th} Edition):

author], [. (1992). Applications of full rank factorization to solving matrix equations . (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/9527

Not specified: Masters Thesis or Doctoral Dissertation

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

author], [No. “Applications of full rank factorization to solving matrix equations .” 1992. Thesis, Baylor University. Accessed April 22, 2019. http://hdl.handle.net/2104/9527.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

author], [No. “Applications of full rank factorization to solving matrix equations .” 1992. Web. 22 Apr 2019.

Vancouver:

author] [. Applications of full rank factorization to solving matrix equations . [Internet] [Thesis]. Baylor University; 1992. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/2104/9527.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Applications of full rank factorization to solving matrix equations . [Thesis]. Baylor University; 1992. Available from: http://hdl.handle.net/2104/9527

Not specified: Masters Thesis or Doctoral Dissertation

UCLA

29. Hu, Chufeng. Application of Neural Network Based Recommendation System.

Degree: Statistics, 2017, UCLA

URL: http://www.escholarship.org/uc/item/4dc4v66k

► In the recommendation system, data comes in the form of a vector or *matrix*. *Matrix* *factorization* techniques attempt to recover missing or corrupted entries by…
(more)

Subjects/Keywords: Statistics; collaborative filtering; matrix factorization; neural network; recommendation system

Record Details Similar Records

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

APA (6^{th} Edition):

Hu, C. (2017). Application of Neural Network Based Recommendation System. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/4dc4v66k

Not specified: Masters Thesis or Doctoral Dissertation

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

Hu, Chufeng. “Application of Neural Network Based Recommendation System.” 2017. Thesis, UCLA. Accessed April 22, 2019. http://www.escholarship.org/uc/item/4dc4v66k.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hu, Chufeng. “Application of Neural Network Based Recommendation System.” 2017. Web. 22 Apr 2019.

Vancouver:

Hu C. Application of Neural Network Based Recommendation System. [Internet] [Thesis]. UCLA; 2017. [cited 2019 Apr 22]. Available from: http://www.escholarship.org/uc/item/4dc4v66k.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hu C. Application of Neural Network Based Recommendation System. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/4dc4v66k

Not specified: Masters Thesis or Doctoral Dissertation

University of Sydney

30. Du, Yuxuan. Quantum Divide-and-Conquer Anchoring .

Degree: 2018, University of Sydney

URL: http://hdl.handle.net/2123/18177

► Among *matrix* decomposition methods, the two factorized matrices obtained by Non-negative *matrix* *factorization* (NMF) generally yield a more natural and interpretable representations. It is computationally…
(more)

Subjects/Keywords: Quantum Machine Learning; Quantum Non-negative Matrix Factorization

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Du, Y. (2018). Quantum Divide-and-Conquer Anchoring . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/18177

Not specified: Masters Thesis or Doctoral Dissertation

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

Du, Yuxuan. “Quantum Divide-and-Conquer Anchoring .” 2018. Thesis, University of Sydney. Accessed April 22, 2019. http://hdl.handle.net/2123/18177.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Du, Yuxuan. “Quantum Divide-and-Conquer Anchoring .” 2018. Web. 22 Apr 2019.

Vancouver:

Du Y. Quantum Divide-and-Conquer Anchoring . [Internet] [Thesis]. University of Sydney; 2018. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/2123/18177.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Du Y. Quantum Divide-and-Conquer Anchoring . [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/18177

Not specified: Masters Thesis or Doctoral Dissertation