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You searched for +publisher:"University of North Texas" +contributor:("Liu, Jianguo"). Showing records 1 – 10 of 10 total matches.

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University of North Texas

1. Giritharan, Balathasan. Incremental Learning with Large Datasets.

Degree: 2012, University of North Texas

 This dissertation focuses on the novel learning strategy based on geometric support vector machines to address the difficulties of processing immense data set. Support vector… (more)

Subjects/Keywords: Support vector machines; incremental learning; large datasets

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

APA (6th Edition):

Giritharan, B. (2012). Incremental Learning with Large Datasets. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc149595/

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

Chicago Manual of Style (16th Edition):

Giritharan, Balathasan. “Incremental Learning with Large Datasets.” 2012. Thesis, University of North Texas. Accessed June 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc149595/.

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

MLA Handbook (7th Edition):

Giritharan, Balathasan. “Incremental Learning with Large Datasets.” 2012. Web. 17 Jun 2019.

Vancouver:

Giritharan B. Incremental Learning with Large Datasets. [Internet] [Thesis]. University of North Texas; 2012. [cited 2019 Jun 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc149595/.

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

Council of Science Editors:

Giritharan B. Incremental Learning with Large Datasets. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc149595/

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


University of North Texas

2. Joshi, Janak R. Infinitely Many Solutions of Semilinear Equations on Exterior Domains.

Degree: 2018, University of North Texas

 We prove the existence and nonexistence of solutions for the semilinear problem ∆u + K(r)f(u) = 0 with various boundary conditions on the exterior of… (more)

Subjects/Keywords: Semilinear; Exterior domains; Sublinear

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APA (6th Edition):

Joshi, J. R. (2018). Infinitely Many Solutions of Semilinear Equations on Exterior Domains. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1248418/

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

Chicago Manual of Style (16th Edition):

Joshi, Janak R. “Infinitely Many Solutions of Semilinear Equations on Exterior Domains.” 2018. Thesis, University of North Texas. Accessed June 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc1248418/.

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

MLA Handbook (7th Edition):

Joshi, Janak R. “Infinitely Many Solutions of Semilinear Equations on Exterior Domains.” 2018. Web. 17 Jun 2019.

Vancouver:

Joshi JR. Infinitely Many Solutions of Semilinear Equations on Exterior Domains. [Internet] [Thesis]. University of North Texas; 2018. [cited 2019 Jun 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1248418/.

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

Council of Science Editors:

Joshi JR. Infinitely Many Solutions of Semilinear Equations on Exterior Domains. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1248418/

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


University of North Texas

3. Abouelenien, Mohamed. Boosting for Learning From Imbalanced, Multiclass Data Sets.

Degree: 2013, University of North Texas

 In many real-world applications, it is common to have uneven number of examples among multiple classes. The data imbalance, however, usually complicates the learning process,… (more)

Subjects/Keywords: Boosting; multi-class classifications; stratified sampling; regularization parameter; imbalaced data sets

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APA (6th Edition):

Abouelenien, M. (2013). Boosting for Learning From Imbalanced, Multiclass Data Sets. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc407775/

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

Chicago Manual of Style (16th Edition):

Abouelenien, Mohamed. “Boosting for Learning From Imbalanced, Multiclass Data Sets.” 2013. Thesis, University of North Texas. Accessed June 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc407775/.

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

MLA Handbook (7th Edition):

Abouelenien, Mohamed. “Boosting for Learning From Imbalanced, Multiclass Data Sets.” 2013. Web. 17 Jun 2019.

Vancouver:

Abouelenien M. Boosting for Learning From Imbalanced, Multiclass Data Sets. [Internet] [Thesis]. University of North Texas; 2013. [cited 2019 Jun 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc407775/.

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

Council of Science Editors:

Abouelenien M. Boosting for Learning From Imbalanced, Multiclass Data Sets. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc407775/

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


University of North Texas

4. Pannu, Husanbir Singh. Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing.

Degree: 2012, University of North Texas

 Semi-supervised learning (SSL) is the most practical approach for classification among machine learning algorithms. It is similar to the humans way of learning and thus… (more)

Subjects/Keywords: Machine learning; anomaly detection; cloud computing

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APA (6th Edition):

Pannu, H. S. (2012). Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc177238/

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

Chicago Manual of Style (16th Edition):

Pannu, Husanbir Singh. “Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing.” 2012. Thesis, University of North Texas. Accessed June 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc177238/.

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

MLA Handbook (7th Edition):

Pannu, Husanbir Singh. “Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing.” 2012. Web. 17 Jun 2019.

Vancouver:

Pannu HS. Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing. [Internet] [Thesis]. University of North Texas; 2012. [cited 2019 Jun 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc177238/.

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

Council of Science Editors:

Pannu HS. Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc177238/

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


University of North Texas

5. Herath, Dushanthi N. Nonparametric Estimation of Receiver Operating Characteristic Surfaces Via Bernstein Polynomials.

Degree: 2012, University of North Texas

 Receiver operating characteristic (ROC) analysis is one of the most widely used methods in evaluating the accuracy of a classification method. It is used in… (more)

Subjects/Keywords: ROC analysis; nonparametric; Bernstein

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APA (6th Edition):

Herath, D. N. (2012). Nonparametric Estimation of Receiver Operating Characteristic Surfaces Via Bernstein Polynomials. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc177212/

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

Chicago Manual of Style (16th Edition):

Herath, Dushanthi N. “Nonparametric Estimation of Receiver Operating Characteristic Surfaces Via Bernstein Polynomials.” 2012. Thesis, University of North Texas. Accessed June 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc177212/.

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

MLA Handbook (7th Edition):

Herath, Dushanthi N. “Nonparametric Estimation of Receiver Operating Characteristic Surfaces Via Bernstein Polynomials.” 2012. Web. 17 Jun 2019.

Vancouver:

Herath DN. Nonparametric Estimation of Receiver Operating Characteristic Surfaces Via Bernstein Polynomials. [Internet] [Thesis]. University of North Texas; 2012. [cited 2019 Jun 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc177212/.

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

Council of Science Editors:

Herath DN. Nonparametric Estimation of Receiver Operating Characteristic Surfaces Via Bernstein Polynomials. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc177212/

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


University of North Texas

6. Paudel, Laxmi P. Traveling Wave Solutions of the Porous Medium Equation.

Degree: 2013, University of North Texas

 We prove the existence of a one-parameter family of solutions of the porous medium equation, a nonlinear heat equation. In our work, with space dimension… (more)

Subjects/Keywords: Traveling wave; porous media; interface

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APA (6th Edition):

Paudel, L. P. (2013). Traveling Wave Solutions of the Porous Medium Equation. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc271876/

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

Chicago Manual of Style (16th Edition):

Paudel, Laxmi P. “Traveling Wave Solutions of the Porous Medium Equation.” 2013. Thesis, University of North Texas. Accessed June 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc271876/.

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

MLA Handbook (7th Edition):

Paudel, Laxmi P. “Traveling Wave Solutions of the Porous Medium Equation.” 2013. Web. 17 Jun 2019.

Vancouver:

Paudel LP. Traveling Wave Solutions of the Porous Medium Equation. [Internet] [Thesis]. University of North Texas; 2013. [cited 2019 Jun 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc271876/.

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

Council of Science Editors:

Paudel LP. Traveling Wave Solutions of the Porous Medium Equation. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc271876/

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


University of North Texas

7. Pathak, Subrat. A Comparative Study of Non Linear Conjugate Gradient Methods.

Degree: 2013, University of North Texas

 We study the development of nonlinear conjugate gradient methods, Fletcher Reeves (FR) and Polak Ribiere (PR). FR extends the linear conjugate gradient method to nonlinear… (more)

Subjects/Keywords: Non linear; conjugate

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

APA (6th Edition):

Pathak, S. (2013). A Comparative Study of Non Linear Conjugate Gradient Methods. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc283864/

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

Chicago Manual of Style (16th Edition):

Pathak, Subrat. “A Comparative Study of Non Linear Conjugate Gradient Methods.” 2013. Thesis, University of North Texas. Accessed June 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc283864/.

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

MLA Handbook (7th Edition):

Pathak, Subrat. “A Comparative Study of Non Linear Conjugate Gradient Methods.” 2013. Web. 17 Jun 2019.

Vancouver:

Pathak S. A Comparative Study of Non Linear Conjugate Gradient Methods. [Internet] [Thesis]. University of North Texas; 2013. [cited 2019 Jun 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc283864/.

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

Council of Science Editors:

Pathak S. A Comparative Study of Non Linear Conjugate Gradient Methods. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc283864/

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


University of North Texas

8. Rong, Ruichen. Developing a Phylogeny Based Machine Learning Algorithm for Metagenomics.

Degree: 2017, University of North Texas

 Metagenomics is the study of the totality of the complete genetic elements discovered from a defined environment. Different from traditional microbiology study, which only analyzes… (more)

Subjects/Keywords: metagenomics; machine learning

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APA (6th Edition):

Rong, R. (2017). Developing a Phylogeny Based Machine Learning Algorithm for Metagenomics. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1011752/

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

Chicago Manual of Style (16th Edition):

Rong, Ruichen. “Developing a Phylogeny Based Machine Learning Algorithm for Metagenomics.” 2017. Thesis, University of North Texas. Accessed June 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc1011752/.

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

MLA Handbook (7th Edition):

Rong, Ruichen. “Developing a Phylogeny Based Machine Learning Algorithm for Metagenomics.” 2017. Web. 17 Jun 2019.

Vancouver:

Rong R. Developing a Phylogeny Based Machine Learning Algorithm for Metagenomics. [Internet] [Thesis]. University of North Texas; 2017. [cited 2019 Jun 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1011752/.

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

Council of Science Editors:

Rong R. Developing a Phylogeny Based Machine Learning Algorithm for Metagenomics. [Thesis]. University of North Texas; 2017. Available from: https://digital.library.unt.edu/ark:/67531/metadc1011752/

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


University of North Texas

9. Kaown, Dougsoo. A New Algorithm for Finding the Minimum Distance between Two Convex Hulls.

Degree: 2009, University of North Texas

 The problem of computing the minimum distance between two convex hulls has applications to many areas including robotics, computer graphics and path planning. Moreover, determining… (more)

Subjects/Keywords: Minimum distance; new algorithm; SVM; Convex sets.; Convex polytopes.; Algorithms.

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

APA (6th Edition):

Kaown, D. (2009). A New Algorithm for Finding the Minimum Distance between Two Convex Hulls. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc9845/

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

Chicago Manual of Style (16th Edition):

Kaown, Dougsoo. “A New Algorithm for Finding the Minimum Distance between Two Convex Hulls.” 2009. Thesis, University of North Texas. Accessed June 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc9845/.

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

MLA Handbook (7th Edition):

Kaown, Dougsoo. “A New Algorithm for Finding the Minimum Distance between Two Convex Hulls.” 2009. Web. 17 Jun 2019.

Vancouver:

Kaown D. A New Algorithm for Finding the Minimum Distance between Two Convex Hulls. [Internet] [Thesis]. University of North Texas; 2009. [cited 2019 Jun 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc9845/.

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

Council of Science Editors:

Kaown D. A New Algorithm for Finding the Minimum Distance between Two Convex Hulls. [Thesis]. University of North Texas; 2009. Available from: https://digital.library.unt.edu/ark:/67531/metadc9845/

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


University of North Texas

10. Kakani, Naveen Kumar. Algorithms for Efficient Utilization of Wireless Bandwidth and to Provide Quality-of-Service in Wireless Networks.

Degree: 2000, University of North Texas

 This thesis presents algorithms to utilize the wireless bandwidth efficiently and at the same time meet the quality of service (QoS) requirements of the users.… (more)

Subjects/Keywords: Wireless communication systems.; Smart structures.; bandwidth; adaptive frame structure

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

APA (6th Edition):

Kakani, N. K. (2000). Algorithms for Efficient Utilization of Wireless Bandwidth and to Provide Quality-of-Service in Wireless Networks. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc2635/

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

Chicago Manual of Style (16th Edition):

Kakani, Naveen Kumar. “Algorithms for Efficient Utilization of Wireless Bandwidth and to Provide Quality-of-Service in Wireless Networks.” 2000. Thesis, University of North Texas. Accessed June 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc2635/.

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

MLA Handbook (7th Edition):

Kakani, Naveen Kumar. “Algorithms for Efficient Utilization of Wireless Bandwidth and to Provide Quality-of-Service in Wireless Networks.” 2000. Web. 17 Jun 2019.

Vancouver:

Kakani NK. Algorithms for Efficient Utilization of Wireless Bandwidth and to Provide Quality-of-Service in Wireless Networks. [Internet] [Thesis]. University of North Texas; 2000. [cited 2019 Jun 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc2635/.

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

Council of Science Editors:

Kakani NK. Algorithms for Efficient Utilization of Wireless Bandwidth and to Provide Quality-of-Service in Wireless Networks. [Thesis]. University of North Texas; 2000. Available from: https://digital.library.unt.edu/ark:/67531/metadc2635/

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

.