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- 2012 – 2016 (121)
- 2007 – 2011 (37)

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- Computer Science (12)
- Electrical Engineering (11)

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- PhD (62)
- Docteur es (47)
- MS (28)
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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: MS, Computer Engineering, 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

Record Details Similar Records

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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. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153210

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

Belsare, Aditya Sanjay. “Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms.” 2014. Masters Thesis, Texas A&M University. Accessed April 10, 2021. http://hdl.handle.net/1969.1/153210.

MLA Handbook (7^{th} Edition):

Belsare, Aditya Sanjay. “Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms.” 2014. Web. 10 Apr 2021.

Vancouver:

Belsare AS. Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1969.1/153210.

Council of Science Editors:

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

Penn State University

2.
Li, Yunhang.
*Matrix**Factorization* Method For Lagre Recommendation System.

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/26488

► Recommendation system is a very popular topic in recent years. It’s very efficient to utilize machine learning algorithms to improve the performance of recommendation systems.…
(more)

Subjects/Keywords: Recommendation system; 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):

Li, Y. (2015). Matrix Factorization Method For Lagre Recommendation System. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26488

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):

Li, Yunhang. “Matrix Factorization Method For Lagre Recommendation System.” 2015. Thesis, Penn State University. Accessed April 10, 2021. https://submit-etda.libraries.psu.edu/catalog/26488.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Li, Yunhang. “Matrix Factorization Method For Lagre Recommendation System.” 2015. Web. 10 Apr 2021.

Vancouver:

Li Y. Matrix Factorization Method For Lagre Recommendation System. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Apr 10]. Available from: https://submit-etda.libraries.psu.edu/catalog/26488.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Y. Matrix Factorization Method For Lagre Recommendation System. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26488

Not specified: Masters Thesis or Doctoral Dissertation

University of New Mexico

3.
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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 10, 2021. http://hdl.handle.net/1928/24336.

MLA Handbook (7^{th} Edition):

Potluru, Vamsi. “Matrix Factorization: Nonnegativity, Sparsity and Independence.” 2014. Web. 10 Apr 2021.

Vancouver:

Potluru V. Matrix Factorization: Nonnegativity, Sparsity and Independence. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2021 Apr 10]. 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

4. -7585-6925. Distributed and dynamic factor modeling of online data.

Degree: PhD, 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

-7585-6925. (2017). Distributed and dynamic factor modeling of online data. (Doctoral Dissertation). 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

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

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed April 10, 2021. http://hdl.handle.net/2152/62065.

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

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Web. 10 Apr 2021.

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] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2152/62065.

Author name may be incomplete

Council of Science Editors:

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

Author name may be incomplete

NSYSU

5.
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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Chang C. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Apr 10]. 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

Northeastern University

6.
Wang, Yueyang.
New initialization strategy for nonnegative *matrix* * factorization*.

Degree: MS, Department of Electrical and Computer Engineering, 2018, Northeastern University

URL: http://hdl.handle.net/2047/D20290549

► Nonnegative *matrix* *factorization* (NMF) has been proved to be a powerful data representa-tion method, and has shown success in applications such as data representation and…
(more)

Subjects/Keywords: complementary elements; nonnegative matrix factorization; data

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, Y. (2018). New initialization strategy for nonnegative matrix factorization. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20290549

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

Wang, Yueyang. “New initialization strategy for nonnegative matrix factorization.” 2018. Masters Thesis, Northeastern University. Accessed April 10, 2021. http://hdl.handle.net/2047/D20290549.

MLA Handbook (7^{th} Edition):

Wang, Yueyang. “New initialization strategy for nonnegative matrix factorization.” 2018. Web. 10 Apr 2021.

Vancouver:

Wang Y. New initialization strategy for nonnegative matrix factorization. [Internet] [Masters thesis]. Northeastern University; 2018. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2047/D20290549.

Council of Science Editors:

Wang Y. New initialization strategy for nonnegative matrix factorization. [Masters Thesis]. Northeastern University; 2018. Available from: http://hdl.handle.net/2047/D20290549

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

Record Details Similar Records

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

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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Mosesov A. Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization. [Internet] [Masters thesis]. University of Minnesota; 2014. [cited 2021 Apr 10]. 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 New South Wales

8. 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

Record Details Similar Records

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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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Luo C. Temporal Dynamics in Recommender Systems. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2021 Apr 10]. 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 Texas – Austin

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

Degree: PhD, Computer science, 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Yu, Hsiang-Fu. “Scalable algorithms for latent variable models in machine learning.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed April 10, 2021. http://hdl.handle.net/2152/41635.

MLA Handbook (7^{th} Edition):

Yu, Hsiang-Fu. “Scalable algorithms for latent variable models in machine learning.” 2016. Web. 10 Apr 2021.

Vancouver:

Yu H. Scalable algorithms for latent variable models in machine learning. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2152/41635.

Council of Science Editors:

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

University of Cincinnati

10.
Li, Kendrick T.
Group Convex Orthogonal Non-negative *Matrix*
Tri-*Factorization* with Applications in FC Fingerprinting.

Degree: MS, Engineering and Applied Science: Computer Engineering, 2020, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136688034675

► Functional magnetic resonance imaging (fMRI) data has been collected and studied in the neuroscience community for more than two decades. Methods have been developed to…
(more)

Subjects/Keywords: Computer Science; fMRI; Functional connectivity; FC fingerprinting; Matrix tri-factorization; Group matrix tri-factorization

Record Details Similar Records

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

APA (6^{th} Edition):

Li, K. T. (2020). Group Convex Orthogonal Non-negative Matrix Tri-Factorization with Applications in FC Fingerprinting. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136688034675

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

Li, Kendrick T. “Group Convex Orthogonal Non-negative Matrix Tri-Factorization with Applications in FC Fingerprinting.” 2020. Masters Thesis, University of Cincinnati. Accessed April 10, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136688034675.

MLA Handbook (7^{th} Edition):

Li, Kendrick T. “Group Convex Orthogonal Non-negative Matrix Tri-Factorization with Applications in FC Fingerprinting.” 2020. Web. 10 Apr 2021.

Vancouver:

Li KT. Group Convex Orthogonal Non-negative Matrix Tri-Factorization with Applications in FC Fingerprinting. [Internet] [Masters thesis]. University of Cincinnati; 2020. [cited 2021 Apr 10]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136688034675.

Council of Science Editors:

Li KT. Group Convex Orthogonal Non-negative Matrix Tri-Factorization with Applications in FC Fingerprinting. [Masters Thesis]. University of Cincinnati; 2020. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136688034675

University of Minnesota

11.
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

Record Details Similar Records

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

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 10, 2021. http://hdl.handle.net/11299/175344.

MLA Handbook (7^{th} Edition):

Sun, Ruoyu. “Matrix Completion via Nonconvex Factorization: Algorithms and Theory.” 2015. Web. 10 Apr 2021.

Vancouver:

Sun R. Matrix Completion via Nonconvex Factorization: Algorithms and Theory. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2021 Apr 10]. 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

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

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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Li F. Incorporating couplings into collaborative filtering. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2021 Apr 10]. 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

13.
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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Yang W. Topic Evolution Discovery based on Regularized Matrix Factorization. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Apr 10]. 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 South Africa

14.
Gaoseb, Frans Otto.
Spectral *factorization* of matrices
.

Degree: 2020, University of South Africa

URL: http://hdl.handle.net/10500/26844

► The research will analyze and compare the current research on the spectral *factorization* of non-singular and singular matrices. We show that a nonsingular non-scalar *matrix*…
(more)

Subjects/Keywords: Spectral factorization; Matrix factorization; Singular Matrices; Non-singular matrices; Involutions; Commutators; Unipotent matrices; Positive-definite matrices; Hermitian factorization; Scalar matrices; Nilpotent factorization

Record Details Similar Records

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

APA (6^{th} Edition):

Gaoseb, F. O. (2020). Spectral factorization of matrices . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/26844

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

Gaoseb, Frans Otto. “Spectral factorization of matrices .” 2020. Masters Thesis, University of South Africa. Accessed April 10, 2021. http://hdl.handle.net/10500/26844.

MLA Handbook (7^{th} Edition):

Gaoseb, Frans Otto. “Spectral factorization of matrices .” 2020. Web. 10 Apr 2021.

Vancouver:

Gaoseb FO. Spectral factorization of matrices . [Internet] [Masters thesis]. University of South Africa; 2020. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10500/26844.

Council of Science Editors:

Gaoseb FO. Spectral factorization of matrices . [Masters Thesis]. University of South Africa; 2020. Available from: http://hdl.handle.net/10500/26844

University of California – Irvine

15.
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 in variety of domains, such as recommendation systems [16, 28], natural language processing [26], and…
(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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Pezeshkpour P. Compact Factorization of Matrices Using Generalized Round-Rank. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2021 Apr 10]. 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

16. 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

❌

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 10, 2021. http://hdl.handle.net/11299/192686.

MLA Handbook (7^{th} Edition):

Sharma, Mohit. “Preference modeling and Accuracy in Recommender Systems.” 2017. Web. 10 Apr 2021.

Vancouver:

Sharma M. Preference modeling and Accuracy in Recommender Systems. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2021 Apr 10]. 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

NSYSU

17. 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

Record Details Similar Records

❌

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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Ma C. Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Apr 10]. 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

18. 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

Record Details Similar Records

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

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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Tseng K. Context-aware Collaborative Filtering Methods for Multimedia Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Apr 10]. 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

19.
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

Record Details Similar Records

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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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Hsieh S. Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Apr 10]. 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

20. 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

❌

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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Yang T. Combining Trust Relationships and Super Users for Collaborative Recommendation. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Apr 10]. 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

21.
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

❌

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 10, 2021. 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. 10 Apr 2021.

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 2021 Apr 10]. 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

Dalhousie University

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

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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Toganassova D. SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2021 Apr 10]. 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

San Jose State University

23. Gulati, Avni. Social Recommendation Systems.

Degree: MS, Computer Engineering, 2018, San Jose State University

URL: https://doi.org/10.31979/etd.6z86-4w3x ; https://scholarworks.sjsu.edu/etd_theses/4968

► In recent years, with the rise of online social networks, personalized recommendations that leverage the aspect of social connections have become a very intriguing…
(more)

Subjects/Keywords: influence propagation; matrix factorization; recommendation system; social network; social regularization

Record Details Similar Records

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

APA (6^{th} Edition):

Gulati, A. (2018). Social Recommendation Systems. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.6z86-4w3x ; https://scholarworks.sjsu.edu/etd_theses/4968

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

Gulati, Avni. “Social Recommendation Systems.” 2018. Masters Thesis, San Jose State University. Accessed April 10, 2021. https://doi.org/10.31979/etd.6z86-4w3x ; https://scholarworks.sjsu.edu/etd_theses/4968.

MLA Handbook (7^{th} Edition):

Gulati, Avni. “Social Recommendation Systems.” 2018. Web. 10 Apr 2021.

Vancouver:

Gulati A. Social Recommendation Systems. [Internet] [Masters thesis]. San Jose State University; 2018. [cited 2021 Apr 10]. Available from: https://doi.org/10.31979/etd.6z86-4w3x ; https://scholarworks.sjsu.edu/etd_theses/4968.

Council of Science Editors:

Gulati A. Social Recommendation Systems. [Masters Thesis]. San Jose State University; 2018. Available from: https://doi.org/10.31979/etd.6z86-4w3x ; https://scholarworks.sjsu.edu/etd_theses/4968

University of Alberta

24.
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

Record Details Similar Records

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

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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Liu B. Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2021 Apr 10]. 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

25.
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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Ku C. Topic Recommendation and Discovery based on Matrix Factorization. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Apr 10]. 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

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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Kang J. Improving a mesh segmentation algorithm based on non-negative matrix factorization. [Internet] [Thesis]. Purdue University; 2016. [cited 2021 Apr 10]. 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

Universidade Nova

27. Dias, Pedro Ricardo Gomes. Recommending media content based on machine learning methods.

Degree: 2011, Universidade Nova

URL: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/6581

►

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Information is nowadays made available and consumed faster than ever before. This information technology generation… (more)

Subjects/Keywords: Recommender systems; Collaborative filtering; Matrix factorization; Groupbased recommendations; Interactive TV

Record Details Similar Records

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

APA (6^{th} Edition):

Dias, P. R. G. (2011). Recommending media content based on machine learning methods. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/6581

Not specified: Masters Thesis or Doctoral Dissertation

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

Dias, Pedro Ricardo Gomes. “Recommending media content based on machine learning methods.” 2011. Thesis, Universidade Nova. Accessed April 10, 2021. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/6581.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dias, Pedro Ricardo Gomes. “Recommending media content based on machine learning methods.” 2011. Web. 10 Apr 2021.

Vancouver:

Dias PRG. Recommending media content based on machine learning methods. [Internet] [Thesis]. Universidade Nova; 2011. [cited 2021 Apr 10]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/6581.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dias PRG. Recommending media content based on machine learning methods. [Thesis]. Universidade Nova; 2011. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/6581

Not specified: Masters Thesis or Doctoral Dissertation

28.
Heß, Sibylle Charlotte.
A mathematical theory of making hard decisions: model selection and robustness of *matrix* *factorization* with binary constraints.

Degree: 2018, Technische Universität Dortmund

URL: http://dx.doi.org/10.17877/DE290R-20240

► One of the first and most fundamental tasks in machine learning is to group observations within a dataset. Given a notion of similarity, finding those…
(more)

Subjects/Keywords: Matrix factorization; Binary optimization; Clustering; 004; Matrizenzerlegung; Boolesche Optimierung; Cluster-Analyse

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Heß, S. C. (2018). A mathematical theory of making hard decisions: model selection and robustness of matrix factorization with binary constraints. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-20240

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

Heß, Sibylle Charlotte. “A mathematical theory of making hard decisions: model selection and robustness of matrix factorization with binary constraints.” 2018. Doctoral Dissertation, Technische Universität Dortmund. Accessed April 10, 2021. http://dx.doi.org/10.17877/DE290R-20240.

MLA Handbook (7^{th} Edition):

Heß, Sibylle Charlotte. “A mathematical theory of making hard decisions: model selection and robustness of matrix factorization with binary constraints.” 2018. Web. 10 Apr 2021.

Vancouver:

Heß SC. A mathematical theory of making hard decisions: model selection and robustness of matrix factorization with binary constraints. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2018. [cited 2021 Apr 10]. Available from: http://dx.doi.org/10.17877/DE290R-20240.

Council of Science Editors:

Heß SC. A mathematical theory of making hard decisions: model selection and robustness of matrix factorization with binary constraints. [Doctoral Dissertation]. Technische Universität Dortmund; 2018. Available from: http://dx.doi.org/10.17877/DE290R-20240

University of Ontario Institute of Technology

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

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 10, 2021. 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. 10 Apr 2021.

Vancouver:

Shanks RA. Towards parallax-based unencumbered displays. [Internet] [Thesis]. University of Ontario Institute of Technology; 2015. [cited 2021 Apr 10]. 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 Ottawa

30.
Agagu, Tosin.
Recommendation Approaches Using Context-Aware Coupled *Matrix* * Factorization*
.

Degree: 2017, University of Ottawa

URL: http://hdl.handle.net/10393/37012

► In general, recommender systems attempt to estimate user preference based on historical data. A context-aware recommender system attempts to generate better recommendations using contextual information.…
(more)

Subjects/Keywords: Context-aware recommender system; Coupled matrix factorization; Recommendations; Context

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Agagu, T. (2017). Recommendation Approaches Using Context-Aware Coupled Matrix Factorization . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/37012

Not specified: Masters Thesis or Doctoral Dissertation

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

Agagu, Tosin. “Recommendation Approaches Using Context-Aware Coupled Matrix Factorization .” 2017. Thesis, University of Ottawa. Accessed April 10, 2021. http://hdl.handle.net/10393/37012.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Agagu, Tosin. “Recommendation Approaches Using Context-Aware Coupled Matrix Factorization .” 2017. Web. 10 Apr 2021.

Vancouver:

Agagu T. Recommendation Approaches Using Context-Aware Coupled Matrix Factorization . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10393/37012.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Agagu T. Recommendation Approaches Using Context-Aware Coupled Matrix Factorization . [Thesis]. University of Ottawa; 2017. Available from: http://hdl.handle.net/10393/37012

Not specified: Masters Thesis or Doctoral Dissertation