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You searched for subject:( Machine Learning). Showing records 1 – 30 of 11287 total matches.

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Oregon State University

1. Vatturi, Pavan Kumar. Rare category detection using hierarchical mean shift.

Degree: MS, Computer Science, 2009, Oregon State University

 Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to identify statistically significant… (more)

Subjects/Keywords: machine learning; Machine learning

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APA (6th Edition):

Vatturi, P. K. (2009). Rare category detection using hierarchical mean shift. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/10191

Chicago Manual of Style (16th Edition):

Vatturi, Pavan Kumar. “Rare category detection using hierarchical mean shift.” 2009. Masters Thesis, Oregon State University. Accessed March 04, 2021. http://hdl.handle.net/1957/10191.

MLA Handbook (7th Edition):

Vatturi, Pavan Kumar. “Rare category detection using hierarchical mean shift.” 2009. Web. 04 Mar 2021.

Vancouver:

Vatturi PK. Rare category detection using hierarchical mean shift. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1957/10191.

Council of Science Editors:

Vatturi PK. Rare category detection using hierarchical mean shift. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/10191


Oregon State University

2. Bao, Xinlong. Applying machine learning for prediction, recommendation, and integration.

Degree: PhD, Computer Science, 2009, Oregon State University

 This dissertation explores the idea of applying machine learning technologies to help computer users find information and better organize electronic resources, by presenting the research… (more)

Subjects/Keywords: machine learning; Machine learning

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APA (6th Edition):

Bao, X. (2009). Applying machine learning for prediction, recommendation, and integration. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/12549

Chicago Manual of Style (16th Edition):

Bao, Xinlong. “Applying machine learning for prediction, recommendation, and integration.” 2009. Doctoral Dissertation, Oregon State University. Accessed March 04, 2021. http://hdl.handle.net/1957/12549.

MLA Handbook (7th Edition):

Bao, Xinlong. “Applying machine learning for prediction, recommendation, and integration.” 2009. Web. 04 Mar 2021.

Vancouver:

Bao X. Applying machine learning for prediction, recommendation, and integration. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1957/12549.

Council of Science Editors:

Bao X. Applying machine learning for prediction, recommendation, and integration. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/12549


Oregon State University

3. Liu, Liping. Machine Learning Methods for Computational Sustainability.

Degree: PhD, Computer Science, 2016, Oregon State University

 Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning(more)

Subjects/Keywords: machine learning; Machine learning

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APA (6th Edition):

Liu, L. (2016). Machine Learning Methods for Computational Sustainability. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/59159

Chicago Manual of Style (16th Edition):

Liu, Liping. “Machine Learning Methods for Computational Sustainability.” 2016. Doctoral Dissertation, Oregon State University. Accessed March 04, 2021. http://hdl.handle.net/1957/59159.

MLA Handbook (7th Edition):

Liu, Liping. “Machine Learning Methods for Computational Sustainability.” 2016. Web. 04 Mar 2021.

Vancouver:

Liu L. Machine Learning Methods for Computational Sustainability. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1957/59159.

Council of Science Editors:

Liu L. Machine Learning Methods for Computational Sustainability. [Doctoral Dissertation]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59159


Oregon State University

4. Hooper, Samuel. Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale.

Degree: MS, Geography, 2017, Oregon State University

 Developing accurate predictive distribution models requires adequately representing relevant spatial and temporal scales, as these scales are ultimately reflective of the relationships between distributions and… (more)

Subjects/Keywords: machine learning; Machine learning

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APA (6th Edition):

Hooper, S. (2017). Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/60148

Chicago Manual of Style (16th Edition):

Hooper, Samuel. “Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale.” 2017. Masters Thesis, Oregon State University. Accessed March 04, 2021. http://hdl.handle.net/1957/60148.

MLA Handbook (7th Edition):

Hooper, Samuel. “Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale.” 2017. Web. 04 Mar 2021.

Vancouver:

Hooper S. Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale. [Internet] [Masters thesis]. Oregon State University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1957/60148.

Council of Science Editors:

Hooper S. Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale. [Masters Thesis]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60148


Texas A&M University

5. Kapale, Anurag. An Automated Framework To Generate End-to-End Machine Learning Pipelines.

Degree: MS, Computer Science, 2019, Texas A&M University

 The recent developments in machine learning have shown its applicability in numerous real-world applications. However, building an optimal machine learning pipeline requires considerable knowledge and… (more)

Subjects/Keywords: Machine Learning; Automated Machine Learning

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APA (6th Edition):

Kapale, A. (2019). An Automated Framework To Generate End-to-End Machine Learning Pipelines. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188756

Chicago Manual of Style (16th Edition):

Kapale, Anurag. “An Automated Framework To Generate End-to-End Machine Learning Pipelines.” 2019. Masters Thesis, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/188756.

MLA Handbook (7th Edition):

Kapale, Anurag. “An Automated Framework To Generate End-to-End Machine Learning Pipelines.” 2019. Web. 04 Mar 2021.

Vancouver:

Kapale A. An Automated Framework To Generate End-to-End Machine Learning Pipelines. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/188756.

Council of Science Editors:

Kapale A. An Automated Framework To Generate End-to-End Machine Learning Pipelines. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/188756

6. Ramezanpanah, Zahra. Bi-lateral interaction between a humanoid robot and a human in mixed reality : Interaction bi latérale entre un robot humanoïde et un humain assistée par la réalité mixte.

Degree: Docteur es, Robotique, 2020, université Paris-Saclay

Cette thèse peut être divisée en deux parties: la reconnaissance des actions et la reconnaissance des émotions. Chaque partie se fait selon deux méthodes, la… (more)

Subjects/Keywords: Machine Learning; Machine Learning

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APA (6th Edition):

Ramezanpanah, Z. (2020). Bi-lateral interaction between a humanoid robot and a human in mixed reality : Interaction bi latérale entre un robot humanoïde et un humain assistée par la réalité mixte. (Doctoral Dissertation). université Paris-Saclay. Retrieved from http://www.theses.fr/2020UPASG039

Chicago Manual of Style (16th Edition):

Ramezanpanah, Zahra. “Bi-lateral interaction between a humanoid robot and a human in mixed reality : Interaction bi latérale entre un robot humanoïde et un humain assistée par la réalité mixte.” 2020. Doctoral Dissertation, université Paris-Saclay. Accessed March 04, 2021. http://www.theses.fr/2020UPASG039.

MLA Handbook (7th Edition):

Ramezanpanah, Zahra. “Bi-lateral interaction between a humanoid robot and a human in mixed reality : Interaction bi latérale entre un robot humanoïde et un humain assistée par la réalité mixte.” 2020. Web. 04 Mar 2021.

Vancouver:

Ramezanpanah Z. Bi-lateral interaction between a humanoid robot and a human in mixed reality : Interaction bi latérale entre un robot humanoïde et un humain assistée par la réalité mixte. [Internet] [Doctoral dissertation]. université Paris-Saclay; 2020. [cited 2021 Mar 04]. Available from: http://www.theses.fr/2020UPASG039.

Council of Science Editors:

Ramezanpanah Z. Bi-lateral interaction between a humanoid robot and a human in mixed reality : Interaction bi latérale entre un robot humanoïde et un humain assistée par la réalité mixte. [Doctoral Dissertation]. université Paris-Saclay; 2020. Available from: http://www.theses.fr/2020UPASG039


Rutgers University

7. Imtiaz, Hafiz, 1986-. Decentralized differentially private algorithms for matrix and tensor factorization.

Degree: PhD, Electrical and Computer Engineering, 2020, Rutgers University

Many applications of machine learning, such as human health research, involve processing private or sensitive information. Privacy concerns may impose significant hurdles to collaboration in… (more)

Subjects/Keywords: Decentralized machine learning; Machine learning

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APA (6th Edition):

Imtiaz, Hafiz, 1. (2020). Decentralized differentially private algorithms for matrix and tensor factorization. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/62938/

Chicago Manual of Style (16th Edition):

Imtiaz, Hafiz, 1986-. “Decentralized differentially private algorithms for matrix and tensor factorization.” 2020. Doctoral Dissertation, Rutgers University. Accessed March 04, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/62938/.

MLA Handbook (7th Edition):

Imtiaz, Hafiz, 1986-. “Decentralized differentially private algorithms for matrix and tensor factorization.” 2020. Web. 04 Mar 2021.

Vancouver:

Imtiaz, Hafiz 1. Decentralized differentially private algorithms for matrix and tensor factorization. [Internet] [Doctoral dissertation]. Rutgers University; 2020. [cited 2021 Mar 04]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/62938/.

Council of Science Editors:

Imtiaz, Hafiz 1. Decentralized differentially private algorithms for matrix and tensor factorization. [Doctoral Dissertation]. Rutgers University; 2020. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/62938/


University of California – San Diego

8. Gallagher, Patrick W. Operator Theory for Analysis of Convex Optimization Methods in Machine Learning.

Degree: Cognitive Science, 2014, University of California – San Diego

 As machine learning has more closely interacted with optimization, the concept of convexity has loomed large. Two properties beyond simple convexity have received particularly close… (more)

Subjects/Keywords: Machine learning

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APA (6th Edition):

Gallagher, P. W. (2014). Operator Theory for Analysis of Convex Optimization Methods in Machine Learning. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/153375qt

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):

Gallagher, Patrick W. “Operator Theory for Analysis of Convex Optimization Methods in Machine Learning.” 2014. Thesis, University of California – San Diego. Accessed March 04, 2021. http://www.escholarship.org/uc/item/153375qt.

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

MLA Handbook (7th Edition):

Gallagher, Patrick W. “Operator Theory for Analysis of Convex Optimization Methods in Machine Learning.” 2014. Web. 04 Mar 2021.

Vancouver:

Gallagher PW. Operator Theory for Analysis of Convex Optimization Methods in Machine Learning. [Internet] [Thesis]. University of California – San Diego; 2014. [cited 2021 Mar 04]. Available from: http://www.escholarship.org/uc/item/153375qt.

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

Council of Science Editors:

Gallagher PW. Operator Theory for Analysis of Convex Optimization Methods in Machine Learning. [Thesis]. University of California – San Diego; 2014. Available from: http://www.escholarship.org/uc/item/153375qt

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


University of Oxford

9. Cobb, Adam Derek. The practicalities of scaling Bayesian neural networks to real-world applications.

Degree: PhD, 2020, University of Oxford

 In this work, I will focus on ways in which we can build machine learning models that appropriately account for uncertainty, whether with computationally cheap… (more)

Subjects/Keywords: Machine learning

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

APA (6th Edition):

Cobb, A. D. (2020). The practicalities of scaling Bayesian neural networks to real-world applications. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:4b738b70-28bc-4545-86a6-6078861e7d13 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.800130

Chicago Manual of Style (16th Edition):

Cobb, Adam Derek. “The practicalities of scaling Bayesian neural networks to real-world applications.” 2020. Doctoral Dissertation, University of Oxford. Accessed March 04, 2021. http://ora.ox.ac.uk/objects/uuid:4b738b70-28bc-4545-86a6-6078861e7d13 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.800130.

MLA Handbook (7th Edition):

Cobb, Adam Derek. “The practicalities of scaling Bayesian neural networks to real-world applications.” 2020. Web. 04 Mar 2021.

Vancouver:

Cobb AD. The practicalities of scaling Bayesian neural networks to real-world applications. [Internet] [Doctoral dissertation]. University of Oxford; 2020. [cited 2021 Mar 04]. Available from: http://ora.ox.ac.uk/objects/uuid:4b738b70-28bc-4545-86a6-6078861e7d13 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.800130.

Council of Science Editors:

Cobb AD. The practicalities of scaling Bayesian neural networks to real-world applications. [Doctoral Dissertation]. University of Oxford; 2020. Available from: http://ora.ox.ac.uk/objects/uuid:4b738b70-28bc-4545-86a6-6078861e7d13 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.800130


University of Oxford

10. Assael, Ioannis Alexandros. Deep learning for communication : emergence, recognition and synthesis.

Degree: PhD, 2019, University of Oxford

 Human intelligence is a social phenomenon tightly coupled to the act and process of communication. Ever since the early prehistoric period, humans have been able… (more)

Subjects/Keywords: Machine learning

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APA (6th Edition):

Assael, I. A. (2019). Deep learning for communication : emergence, recognition and synthesis. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:794592eb-d957-49c4-8d46-c4eb19bd0125 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799986

Chicago Manual of Style (16th Edition):

Assael, Ioannis Alexandros. “Deep learning for communication : emergence, recognition and synthesis.” 2019. Doctoral Dissertation, University of Oxford. Accessed March 04, 2021. http://ora.ox.ac.uk/objects/uuid:794592eb-d957-49c4-8d46-c4eb19bd0125 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799986.

MLA Handbook (7th Edition):

Assael, Ioannis Alexandros. “Deep learning for communication : emergence, recognition and synthesis.” 2019. Web. 04 Mar 2021.

Vancouver:

Assael IA. Deep learning for communication : emergence, recognition and synthesis. [Internet] [Doctoral dissertation]. University of Oxford; 2019. [cited 2021 Mar 04]. Available from: http://ora.ox.ac.uk/objects/uuid:794592eb-d957-49c4-8d46-c4eb19bd0125 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799986.

Council of Science Editors:

Assael IA. Deep learning for communication : emergence, recognition and synthesis. [Doctoral Dissertation]. University of Oxford; 2019. Available from: http://ora.ox.ac.uk/objects/uuid:794592eb-d957-49c4-8d46-c4eb19bd0125 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799986

11. Khorshidi, Alireza. Methods and Theories in Atomistic Reaction Engineering.

Degree: School of Engineering, 2018, Brown University

 Electronic-structure calculations have provided us with in-depth understanding of chemical and physical phenomena in atomic and molecular scales. In particular, density functional theory has been… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Khorshidi, A. (2018). Methods and Theories in Atomistic Reaction Engineering. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792658/

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):

Khorshidi, Alireza. “Methods and Theories in Atomistic Reaction Engineering.” 2018. Thesis, Brown University. Accessed March 04, 2021. https://repository.library.brown.edu/studio/item/bdr:792658/.

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

MLA Handbook (7th Edition):

Khorshidi, Alireza. “Methods and Theories in Atomistic Reaction Engineering.” 2018. Web. 04 Mar 2021.

Vancouver:

Khorshidi A. Methods and Theories in Atomistic Reaction Engineering. [Internet] [Thesis]. Brown University; 2018. [cited 2021 Mar 04]. Available from: https://repository.library.brown.edu/studio/item/bdr:792658/.

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

Council of Science Editors:

Khorshidi A. Methods and Theories in Atomistic Reaction Engineering. [Thesis]. Brown University; 2018. Available from: https://repository.library.brown.edu/studio/item/bdr:792658/

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

12. Lee, Seungjoon. Statistical Learning Tools for Information Fusion in Computational Fluid Dynamics.

Degree: Department of Applied Mathematics, 2017, Brown University

 For more than a decade, remarkable scientific progress in computational fluid dynamics (CFD) has been achieved via powerful collection of tools for exascale simulations, data-driven… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Lee, S. (2017). Statistical Learning Tools for Information Fusion in Computational Fluid Dynamics. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733405/

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):

Lee, Seungjoon. “Statistical Learning Tools for Information Fusion in Computational Fluid Dynamics.” 2017. Thesis, Brown University. Accessed March 04, 2021. https://repository.library.brown.edu/studio/item/bdr:733405/.

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

MLA Handbook (7th Edition):

Lee, Seungjoon. “Statistical Learning Tools for Information Fusion in Computational Fluid Dynamics.” 2017. Web. 04 Mar 2021.

Vancouver:

Lee S. Statistical Learning Tools for Information Fusion in Computational Fluid Dynamics. [Internet] [Thesis]. Brown University; 2017. [cited 2021 Mar 04]. Available from: https://repository.library.brown.edu/studio/item/bdr:733405/.

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

Council of Science Editors:

Lee S. Statistical Learning Tools for Information Fusion in Computational Fluid Dynamics. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733405/

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

13. Brawner, Stephen Andrew. Algorithms for the Personalization of AI for Robots and the Smart Home.

Degree: Department of Computer Science, 2018, Brown University

 Just as an interconnected-computerized world has produced large amounts of data resulting in exciting challenges for machine learning, connected households with robots and smart devices… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Brawner, S. A. (2018). Algorithms for the Personalization of AI for Robots and the Smart Home. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792905/

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):

Brawner, Stephen Andrew. “Algorithms for the Personalization of AI for Robots and the Smart Home.” 2018. Thesis, Brown University. Accessed March 04, 2021. https://repository.library.brown.edu/studio/item/bdr:792905/.

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

MLA Handbook (7th Edition):

Brawner, Stephen Andrew. “Algorithms for the Personalization of AI for Robots and the Smart Home.” 2018. Web. 04 Mar 2021.

Vancouver:

Brawner SA. Algorithms for the Personalization of AI for Robots and the Smart Home. [Internet] [Thesis]. Brown University; 2018. [cited 2021 Mar 04]. Available from: https://repository.library.brown.edu/studio/item/bdr:792905/.

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

Council of Science Editors:

Brawner SA. Algorithms for the Personalization of AI for Robots and the Smart Home. [Thesis]. Brown University; 2018. Available from: https://repository.library.brown.edu/studio/item/bdr:792905/

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

14. Wang, Yinong. Decoding hindlimb kinematics from primate motor cortex using long short-term memory recurrent neural networks.

Degree: Biomedical Engineering, 2018, Brown University

 Recent machine learning techniques have become a powerful tool in a variety of tasks, including neural decoding. Artificial neural network models, particularly recurrent models, can… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Wang, Y. (2018). Decoding hindlimb kinematics from primate motor cortex using long short-term memory recurrent neural networks. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792720/

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):

Wang, Yinong. “Decoding hindlimb kinematics from primate motor cortex using long short-term memory recurrent neural networks.” 2018. Thesis, Brown University. Accessed March 04, 2021. https://repository.library.brown.edu/studio/item/bdr:792720/.

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

MLA Handbook (7th Edition):

Wang, Yinong. “Decoding hindlimb kinematics from primate motor cortex using long short-term memory recurrent neural networks.” 2018. Web. 04 Mar 2021.

Vancouver:

Wang Y. Decoding hindlimb kinematics from primate motor cortex using long short-term memory recurrent neural networks. [Internet] [Thesis]. Brown University; 2018. [cited 2021 Mar 04]. Available from: https://repository.library.brown.edu/studio/item/bdr:792720/.

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

Council of Science Editors:

Wang Y. Decoding hindlimb kinematics from primate motor cortex using long short-term memory recurrent neural networks. [Thesis]. Brown University; 2018. Available from: https://repository.library.brown.edu/studio/item/bdr:792720/

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

15. Patil, Prerna. Multi-Fidelity Simulation Algorithm and its Application to Flow over a Cylinder.

Degree: School of Engineering, 2017, Brown University

 We tackle the classical problem of predicting the relation between of C_L , C_D and C_P vs Reynolds number for flow over cylinder using the… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Patil, P. (2017). Multi-Fidelity Simulation Algorithm and its Application to Flow over a Cylinder. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733471/

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):

Patil, Prerna. “Multi-Fidelity Simulation Algorithm and its Application to Flow over a Cylinder.” 2017. Thesis, Brown University. Accessed March 04, 2021. https://repository.library.brown.edu/studio/item/bdr:733471/.

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

MLA Handbook (7th Edition):

Patil, Prerna. “Multi-Fidelity Simulation Algorithm and its Application to Flow over a Cylinder.” 2017. Web. 04 Mar 2021.

Vancouver:

Patil P. Multi-Fidelity Simulation Algorithm and its Application to Flow over a Cylinder. [Internet] [Thesis]. Brown University; 2017. [cited 2021 Mar 04]. Available from: https://repository.library.brown.edu/studio/item/bdr:733471/.

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

Council of Science Editors:

Patil P. Multi-Fidelity Simulation Algorithm and its Application to Flow over a Cylinder. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733471/

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

16. Loper, Jackson Hoy. Theory and Computation for Modern Probabilistic Models.

Degree: Department of Applied Mathematics, 2017, Brown University

 Modern probabilistic models involve computation and analysis in very high-dimensional spaces. Here we explore several of ways in which analysis of problems high dimensional spaces… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Loper, J. H. (2017). Theory and Computation for Modern Probabilistic Models. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733424/

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):

Loper, Jackson Hoy. “Theory and Computation for Modern Probabilistic Models.” 2017. Thesis, Brown University. Accessed March 04, 2021. https://repository.library.brown.edu/studio/item/bdr:733424/.

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

MLA Handbook (7th Edition):

Loper, Jackson Hoy. “Theory and Computation for Modern Probabilistic Models.” 2017. Web. 04 Mar 2021.

Vancouver:

Loper JH. Theory and Computation for Modern Probabilistic Models. [Internet] [Thesis]. Brown University; 2017. [cited 2021 Mar 04]. Available from: https://repository.library.brown.edu/studio/item/bdr:733424/.

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

Council of Science Editors:

Loper JH. Theory and Computation for Modern Probabilistic Models. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733424/

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

17. Chua, Jeroen. Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding.

Degree: Department of Computer Science, 2017, Brown University

 We propose a general-purpose probabilistic framework for scene understanding tasks. We show that several classical scene understanding tasks can be modeled and addressed under a… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Chua, J. (2017). Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792615/

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):

Chua, Jeroen. “Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding.” 2017. Thesis, Brown University. Accessed March 04, 2021. https://repository.library.brown.edu/studio/item/bdr:792615/.

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

MLA Handbook (7th Edition):

Chua, Jeroen. “Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding.” 2017. Web. 04 Mar 2021.

Vancouver:

Chua J. Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding. [Internet] [Thesis]. Brown University; 2017. [cited 2021 Mar 04]. Available from: https://repository.library.brown.edu/studio/item/bdr:792615/.

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

Council of Science Editors:

Chua J. Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:792615/

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

18. Ren, Zhile. Semantic Three-Dimensional Understanding of Dynamic Scenes.

Degree: Department of Computer Science, 2018, Brown University

 We develop new representations and algorithms for three-dimensional (3D) scene understanding from images and videos. To model cluttered indoor scenes, we introduce object descriptors that… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Ren, Z. (2018). Semantic Three-Dimensional Understanding of Dynamic Scenes. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792891/

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):

Ren, Zhile. “Semantic Three-Dimensional Understanding of Dynamic Scenes.” 2018. Thesis, Brown University. Accessed March 04, 2021. https://repository.library.brown.edu/studio/item/bdr:792891/.

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

MLA Handbook (7th Edition):

Ren, Zhile. “Semantic Three-Dimensional Understanding of Dynamic Scenes.” 2018. Web. 04 Mar 2021.

Vancouver:

Ren Z. Semantic Three-Dimensional Understanding of Dynamic Scenes. [Internet] [Thesis]. Brown University; 2018. [cited 2021 Mar 04]. Available from: https://repository.library.brown.edu/studio/item/bdr:792891/.

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

Council of Science Editors:

Ren Z. Semantic Three-Dimensional Understanding of Dynamic Scenes. [Thesis]. Brown University; 2018. Available from: https://repository.library.brown.edu/studio/item/bdr:792891/

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

19. Tang, Yu-Hang. Multiscale and Mesoscopic Modeling of Soft Matter and Biophysical Systems Using High Performance Computing and Machine Learning.

Degree: Department of Applied Mathematics, 2017, Brown University

 This dissertation is composed around the subject of multiscale modeling of soft matter and biophysical systems with applications using large-scale computations. Specifically, it is expanded… (more)

Subjects/Keywords: Machine Learning

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APA (6th Edition):

Tang, Y. (2017). Multiscale and Mesoscopic Modeling of Soft Matter and Biophysical Systems Using High Performance Computing and Machine Learning. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792611/

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):

Tang, Yu-Hang. “Multiscale and Mesoscopic Modeling of Soft Matter and Biophysical Systems Using High Performance Computing and Machine Learning.” 2017. Thesis, Brown University. Accessed March 04, 2021. https://repository.library.brown.edu/studio/item/bdr:792611/.

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

MLA Handbook (7th Edition):

Tang, Yu-Hang. “Multiscale and Mesoscopic Modeling of Soft Matter and Biophysical Systems Using High Performance Computing and Machine Learning.” 2017. Web. 04 Mar 2021.

Vancouver:

Tang Y. Multiscale and Mesoscopic Modeling of Soft Matter and Biophysical Systems Using High Performance Computing and Machine Learning. [Internet] [Thesis]. Brown University; 2017. [cited 2021 Mar 04]. Available from: https://repository.library.brown.edu/studio/item/bdr:792611/.

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

Council of Science Editors:

Tang Y. Multiscale and Mesoscopic Modeling of Soft Matter and Biophysical Systems Using High Performance Computing and Machine Learning. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:792611/

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


University of Waikato

20. Han, Zhimeng. Smoothing in Probability Estimation Trees .

Degree: 2011, University of Waikato

 Classification learning is a type of supervised machine learning technique that uses a classification model (e.g. decision tree) to predict unknown class labels for previously… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Han, Z. (2011). Smoothing in Probability Estimation Trees . (Masters Thesis). University of Waikato. Retrieved from http://hdl.handle.net/10289/5701

Chicago Manual of Style (16th Edition):

Han, Zhimeng. “Smoothing in Probability Estimation Trees .” 2011. Masters Thesis, University of Waikato. Accessed March 04, 2021. http://hdl.handle.net/10289/5701.

MLA Handbook (7th Edition):

Han, Zhimeng. “Smoothing in Probability Estimation Trees .” 2011. Web. 04 Mar 2021.

Vancouver:

Han Z. Smoothing in Probability Estimation Trees . [Internet] [Masters thesis]. University of Waikato; 2011. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10289/5701.

Council of Science Editors:

Han Z. Smoothing in Probability Estimation Trees . [Masters Thesis]. University of Waikato; 2011. Available from: http://hdl.handle.net/10289/5701


Wake Forest University

21. Patel, Udita. Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture.

Degree: 2016, Wake Forest University

 The quantity of electronic data available for analysis has grown exponentially with the rapid development of the World Wide Web, the Internet of Things, and… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Patel, U. (2016). Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/59315

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):

Patel, Udita. “Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture.” 2016. Thesis, Wake Forest University. Accessed March 04, 2021. http://hdl.handle.net/10339/59315.

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

MLA Handbook (7th Edition):

Patel, Udita. “Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture.” 2016. Web. 04 Mar 2021.

Vancouver:

Patel U. Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture. [Internet] [Thesis]. Wake Forest University; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10339/59315.

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

Council of Science Editors:

Patel U. Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture. [Thesis]. Wake Forest University; 2016. Available from: http://hdl.handle.net/10339/59315

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


Oregon State University

22. Das, Shubhomoy. Incorporating User Feedback into Machine Learning Systems.

Degree: PhD, 2017, Oregon State University

 Although machine learning systems are often effective in real-world applications, there are situations in which they can be even better when provided with some degree… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Das, S. (2017). Incorporating User Feedback into Machine Learning Systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/61580

Chicago Manual of Style (16th Edition):

Das, Shubhomoy. “Incorporating User Feedback into Machine Learning Systems.” 2017. Doctoral Dissertation, Oregon State University. Accessed March 04, 2021. http://hdl.handle.net/1957/61580.

MLA Handbook (7th Edition):

Das, Shubhomoy. “Incorporating User Feedback into Machine Learning Systems.” 2017. Web. 04 Mar 2021.

Vancouver:

Das S. Incorporating User Feedback into Machine Learning Systems. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1957/61580.

Council of Science Editors:

Das S. Incorporating User Feedback into Machine Learning Systems. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61580

23. Masci, Jonathan. Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions.

Degree: 2014, Università della Svizzera italiana

Learning features for object detection and recognition with deep learning has received increasing attention in the past several years and recently attained widespread popularity. In… (more)

Subjects/Keywords: Machine learning

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APA (6th Edition):

Masci, J. (2014). Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/210177

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):

Masci, Jonathan. “Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions.” 2014. Thesis, Università della Svizzera italiana. Accessed March 04, 2021. http://doc.rero.ch/record/210177.

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

MLA Handbook (7th Edition):

Masci, Jonathan. “Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions.” 2014. Web. 04 Mar 2021.

Vancouver:

Masci J. Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions. [Internet] [Thesis]. Università della Svizzera italiana; 2014. [cited 2021 Mar 04]. Available from: http://doc.rero.ch/record/210177.

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

Council of Science Editors:

Masci J. Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions. [Thesis]. Università della Svizzera italiana; 2014. Available from: http://doc.rero.ch/record/210177

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


Università della Svizzera italiana

24. Bacchelli, Alberto. Mining unstructured software data.

Degree: 2013, Università della Svizzera italiana

 Our thesis is that the analysis of unstructured data supports software understanding and evolution analysis, and complements the data mined from structured sources. To this… (more)

Subjects/Keywords: Machine learning

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

APA (6th Edition):

Bacchelli, A. (2013). Mining unstructured software data. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/203066

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):

Bacchelli, Alberto. “Mining unstructured software data.” 2013. Thesis, Università della Svizzera italiana. Accessed March 04, 2021. http://doc.rero.ch/record/203066.

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

MLA Handbook (7th Edition):

Bacchelli, Alberto. “Mining unstructured software data.” 2013. Web. 04 Mar 2021.

Vancouver:

Bacchelli A. Mining unstructured software data. [Internet] [Thesis]. Università della Svizzera italiana; 2013. [cited 2021 Mar 04]. Available from: http://doc.rero.ch/record/203066.

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

Council of Science Editors:

Bacchelli A. Mining unstructured software data. [Thesis]. Università della Svizzera italiana; 2013. Available from: http://doc.rero.ch/record/203066

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


University of Oxford

25. McLeod, Mark. Optimizing Bayesian optimization.

Degree: PhD, 2018, University of Oxford

 We are concerned primarily with improving the practical applicability of Bayesian optimization. We make contributions in three key areas. We develop an intuitive online stopping… (more)

Subjects/Keywords: Machine learning

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

APA (6th Edition):

McLeod, M. (2018). Optimizing Bayesian optimization. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:c35f26ba-07ec-4830-ac37-39b37d36a8b3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.786122

Chicago Manual of Style (16th Edition):

McLeod, Mark. “Optimizing Bayesian optimization.” 2018. Doctoral Dissertation, University of Oxford. Accessed March 04, 2021. http://ora.ox.ac.uk/objects/uuid:c35f26ba-07ec-4830-ac37-39b37d36a8b3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.786122.

MLA Handbook (7th Edition):

McLeod, Mark. “Optimizing Bayesian optimization.” 2018. Web. 04 Mar 2021.

Vancouver:

McLeod M. Optimizing Bayesian optimization. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2021 Mar 04]. Available from: http://ora.ox.ac.uk/objects/uuid:c35f26ba-07ec-4830-ac37-39b37d36a8b3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.786122.

Council of Science Editors:

McLeod M. Optimizing Bayesian optimization. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:c35f26ba-07ec-4830-ac37-39b37d36a8b3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.786122


California State Polytechnic University – Pomona

26. Guo, Mo. Hair Segmentation using Deep Learning.

Degree: MS, Department of Computer Science, 2020, California State Polytechnic University – Pomona

 Human appearances are always characterized by hair. Hair segmentation in images is helpful in modern applications, such as face and hair modeling, video surveillance or… (more)

Subjects/Keywords: machine learning

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

APA (6th Edition):

Guo, M. (2020). Hair Segmentation using Deep Learning. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/214986

Chicago Manual of Style (16th Edition):

Guo, Mo. “Hair Segmentation using Deep Learning.” 2020. Masters Thesis, California State Polytechnic University – Pomona. Accessed March 04, 2021. http://hdl.handle.net/10211.3/214986.

MLA Handbook (7th Edition):

Guo, Mo. “Hair Segmentation using Deep Learning.” 2020. Web. 04 Mar 2021.

Vancouver:

Guo M. Hair Segmentation using Deep Learning. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2020. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10211.3/214986.

Council of Science Editors:

Guo M. Hair Segmentation using Deep Learning. [Masters Thesis]. California State Polytechnic University – Pomona; 2020. Available from: http://hdl.handle.net/10211.3/214986


Universidad de Cantabria

27. Ruiz Martínez, Estela. Machine learning methods for the prediction of non-metallic inclusions in steel wires for tire reinforcement: Métodos machine learning para la predicción de inclusiones no metálicas en alambres de acero para refuerzo de neumáticos.

Degree: Máster en Ciencia de Datos, 2019, Universidad de Cantabria

 ABSTRACT: Non-metallic inclusions are unavoidably produced during steel casting resulting in lower mechanical strength and other detrimental effects. This study was aimed at developing a… (more)

Subjects/Keywords: Machine learning

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

APA (6th Edition):

Ruiz Martínez, E. (2019). Machine learning methods for the prediction of non-metallic inclusions in steel wires for tire reinforcement: Métodos machine learning para la predicción de inclusiones no metálicas en alambres de acero para refuerzo de neumáticos. (Masters Thesis). Universidad de Cantabria. Retrieved from http://hdl.handle.net/10902/16903

Chicago Manual of Style (16th Edition):

Ruiz Martínez, Estela. “Machine learning methods for the prediction of non-metallic inclusions in steel wires for tire reinforcement: Métodos machine learning para la predicción de inclusiones no metálicas en alambres de acero para refuerzo de neumáticos.” 2019. Masters Thesis, Universidad de Cantabria. Accessed March 04, 2021. http://hdl.handle.net/10902/16903.

MLA Handbook (7th Edition):

Ruiz Martínez, Estela. “Machine learning methods for the prediction of non-metallic inclusions in steel wires for tire reinforcement: Métodos machine learning para la predicción de inclusiones no metálicas en alambres de acero para refuerzo de neumáticos.” 2019. Web. 04 Mar 2021.

Vancouver:

Ruiz Martínez E. Machine learning methods for the prediction of non-metallic inclusions in steel wires for tire reinforcement: Métodos machine learning para la predicción de inclusiones no metálicas en alambres de acero para refuerzo de neumáticos. [Internet] [Masters thesis]. Universidad de Cantabria; 2019. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10902/16903.

Council of Science Editors:

Ruiz Martínez E. Machine learning methods for the prediction of non-metallic inclusions in steel wires for tire reinforcement: Métodos machine learning para la predicción de inclusiones no metálicas en alambres de acero para refuerzo de neumáticos. [Masters Thesis]. Universidad de Cantabria; 2019. Available from: http://hdl.handle.net/10902/16903


California State Polytechnic University – Pomona

28. Bailey, Kevin. Statistical Learning for Esports Match Prediction.

Degree: MS, Department of Mathematics and Statistics, 2020, California State Polytechnic University – Pomona

 Traditional sports have been a hot topic for many statistical and machine learning models. Not only for prediction, but these models can help to make… (more)

Subjects/Keywords: machine learning

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

APA (6th Edition):

Bailey, K. (2020). Statistical Learning for Esports Match Prediction. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/216025

Chicago Manual of Style (16th Edition):

Bailey, Kevin. “Statistical Learning for Esports Match Prediction.” 2020. Masters Thesis, California State Polytechnic University – Pomona. Accessed March 04, 2021. http://hdl.handle.net/10211.3/216025.

MLA Handbook (7th Edition):

Bailey, Kevin. “Statistical Learning for Esports Match Prediction.” 2020. Web. 04 Mar 2021.

Vancouver:

Bailey K. Statistical Learning for Esports Match Prediction. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2020. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10211.3/216025.

Council of Science Editors:

Bailey K. Statistical Learning for Esports Match Prediction. [Masters Thesis]. California State Polytechnic University – Pomona; 2020. Available from: http://hdl.handle.net/10211.3/216025


University of Victoria

29. Lam, Newman Ming Ki. Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies.

Degree: School of Public Administration, 2018, University of Victoria

 Research on machine learning has taken numerous different directions. The present study focussed on the microstructural characteristics of learning systems. It was postulated that learning(more)

Subjects/Keywords: Machine learning

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

APA (6th Edition):

Lam, N. M. K. (2018). Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies. (Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/9498

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):

Lam, Newman Ming Ki. “Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies.” 2018. Thesis, University of Victoria. Accessed March 04, 2021. https://dspace.library.uvic.ca//handle/1828/9498.

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

MLA Handbook (7th Edition):

Lam, Newman Ming Ki. “Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies.” 2018. Web. 04 Mar 2021.

Vancouver:

Lam NMK. Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies. [Internet] [Thesis]. University of Victoria; 2018. [cited 2021 Mar 04]. Available from: https://dspace.library.uvic.ca//handle/1828/9498.

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

Council of Science Editors:

Lam NMK. Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies. [Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/9498

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

30. Fan, Shuangfei. Deep Representation Learning on Labeled Graphs.

Degree: PhD, Computer Science and Applications, 2020, Virginia Tech

 Graphs are one of the most important and powerful data structures for conveying the complex and correlated information among data points. In this research, we… (more)

Subjects/Keywords: Machine learning

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

APA (6th Edition):

Fan, S. (2020). Deep Representation Learning on Labeled Graphs. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/96596

Chicago Manual of Style (16th Edition):

Fan, Shuangfei. “Deep Representation Learning on Labeled Graphs.” 2020. Doctoral Dissertation, Virginia Tech. Accessed March 04, 2021. http://hdl.handle.net/10919/96596.

MLA Handbook (7th Edition):

Fan, Shuangfei. “Deep Representation Learning on Labeled Graphs.” 2020. Web. 04 Mar 2021.

Vancouver:

Fan S. Deep Representation Learning on Labeled Graphs. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10919/96596.

Council of Science Editors:

Fan S. Deep Representation Learning on Labeled Graphs. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/96596

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