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You searched for subject:(Machine Intelligence). Showing records 1 – 30 of 1253 total matches.

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University of Georgia

1. Sharma, Karan. Towards generally intelligent machines.

Degree: 2014, University of Georgia

 In spite of the impressive successes of many Artificial Intelligence techniques in narrow domains, one of the unrealized goals of AI remains the creation of… (more)

Subjects/Keywords: Intelligence; Creativity; Machine Intelligence Test

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APA (6th Edition):

Sharma, K. (2014). Towards generally intelligent machines. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/25310

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):

Sharma, Karan. “Towards generally intelligent machines.” 2014. Thesis, University of Georgia. Accessed October 31, 2020. http://hdl.handle.net/10724/25310.

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

MLA Handbook (7th Edition):

Sharma, Karan. “Towards generally intelligent machines.” 2014. Web. 31 Oct 2020.

Vancouver:

Sharma K. Towards generally intelligent machines. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10724/25310.

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

Council of Science Editors:

Sharma K. Towards generally intelligent machines. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/25310

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


Indiana University

2. Gilmanov, Timur. Lower bound resource requirements for machine intelligence .

Degree: 2018, Indiana University

 Recent advancements in technology and the field of artificial intelligence provide a platform for new applications in a wide range of areas, including healthcare, engineering,… (more)

Subjects/Keywords: machine intelligence; artificial intelligence; high performance computing

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APA (6th Edition):

Gilmanov, T. (2018). Lower bound resource requirements for machine intelligence . (Thesis). Indiana University. Retrieved from http://hdl.handle.net/2022/22595

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):

Gilmanov, Timur. “Lower bound resource requirements for machine intelligence .” 2018. Thesis, Indiana University. Accessed October 31, 2020. http://hdl.handle.net/2022/22595.

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

MLA Handbook (7th Edition):

Gilmanov, Timur. “Lower bound resource requirements for machine intelligence .” 2018. Web. 31 Oct 2020.

Vancouver:

Gilmanov T. Lower bound resource requirements for machine intelligence . [Internet] [Thesis]. Indiana University; 2018. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/2022/22595.

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

Council of Science Editors:

Gilmanov T. Lower bound resource requirements for machine intelligence . [Thesis]. Indiana University; 2018. Available from: http://hdl.handle.net/2022/22595

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


Rochester Institute of Technology

3. Petroski Such, Felipe. Deep Learning Architectures for Novel Problems.

Degree: MS, Computer Engineering, 2017, Rochester Institute of Technology

  With convolutional neural networks revolutionizing the computer vision field it is important to extend the capabilities of neural-based systems to dynamic and unrestricted data… (more)

Subjects/Keywords: Deep learning; ICR; Machine intelligence

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APA (6th Edition):

Petroski Such, F. (2017). Deep Learning Architectures for Novel Problems. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9611

Chicago Manual of Style (16th Edition):

Petroski Such, Felipe. “Deep Learning Architectures for Novel Problems.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed October 31, 2020. https://scholarworks.rit.edu/theses/9611.

MLA Handbook (7th Edition):

Petroski Such, Felipe. “Deep Learning Architectures for Novel Problems.” 2017. Web. 31 Oct 2020.

Vancouver:

Petroski Such F. Deep Learning Architectures for Novel Problems. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2020 Oct 31]. Available from: https://scholarworks.rit.edu/theses/9611.

Council of Science Editors:

Petroski Such F. Deep Learning Architectures for Novel Problems. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9611


Victoria University of Wellington

4. Bhowan, Urvesh. Genetic Programming for Classification with Unbalanced Data.

Degree: 2012, Victoria University of Wellington

 In classification,machine learning algorithms can suffer a performance bias when data sets are unbalanced. Binary data sets are unbalanced when one class is represented by… (more)

Subjects/Keywords: Machine learning; Artificial intelligence; Ensembles

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APA (6th Edition):

Bhowan, U. (2012). Genetic Programming for Classification with Unbalanced Data. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2249

Chicago Manual of Style (16th Edition):

Bhowan, Urvesh. “Genetic Programming for Classification with Unbalanced Data.” 2012. Doctoral Dissertation, Victoria University of Wellington. Accessed October 31, 2020. http://hdl.handle.net/10063/2249.

MLA Handbook (7th Edition):

Bhowan, Urvesh. “Genetic Programming for Classification with Unbalanced Data.” 2012. Web. 31 Oct 2020.

Vancouver:

Bhowan U. Genetic Programming for Classification with Unbalanced Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2012. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10063/2249.

Council of Science Editors:

Bhowan U. Genetic Programming for Classification with Unbalanced Data. [Doctoral Dissertation]. Victoria University of Wellington; 2012. Available from: http://hdl.handle.net/10063/2249


Loughborough University

5. Ma, Jianjia. Innovative intelligent sensors to objectively understand exercise interventions for older adults.

Degree: PhD, 2019, Loughborough University

 The population of most western countries is ageing and, therefore, the ageing issue now matters more than ever. According to the reports of the United… (more)

Subjects/Keywords: sensor network; Machine Intelligence; Sensor

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APA (6th Edition):

Ma, J. (2019). Innovative intelligent sensors to objectively understand exercise interventions for older adults. (Doctoral Dissertation). Loughborough University. Retrieved from https://doi.org/10.26174/thesis.lboro.9996005.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791109

Chicago Manual of Style (16th Edition):

Ma, Jianjia. “Innovative intelligent sensors to objectively understand exercise interventions for older adults.” 2019. Doctoral Dissertation, Loughborough University. Accessed October 31, 2020. https://doi.org/10.26174/thesis.lboro.9996005.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791109.

MLA Handbook (7th Edition):

Ma, Jianjia. “Innovative intelligent sensors to objectively understand exercise interventions for older adults.” 2019. Web. 31 Oct 2020.

Vancouver:

Ma J. Innovative intelligent sensors to objectively understand exercise interventions for older adults. [Internet] [Doctoral dissertation]. Loughborough University; 2019. [cited 2020 Oct 31]. Available from: https://doi.org/10.26174/thesis.lboro.9996005.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791109.

Council of Science Editors:

Ma J. Innovative intelligent sensors to objectively understand exercise interventions for older adults. [Doctoral Dissertation]. Loughborough University; 2019. Available from: https://doi.org/10.26174/thesis.lboro.9996005.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791109


Rutgers University

6. Sridhar, Vibha, 1996. Variably trained generative adversarial networks.

Degree: MS, Computer Science, 2019, Rutgers University

 Since their introduction in 2014, Generative Adversarial Networks (GAN), have been a hot topic in the AI field. Although the original implementation of GAN is… (more)

Subjects/Keywords: Artificial intelligence; Machine learning

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APA (6th Edition):

Sridhar, Vibha, 1. (2019). Variably trained generative adversarial networks. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/60866/

Chicago Manual of Style (16th Edition):

Sridhar, Vibha, 1996. “Variably trained generative adversarial networks.” 2019. Masters Thesis, Rutgers University. Accessed October 31, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/60866/.

MLA Handbook (7th Edition):

Sridhar, Vibha, 1996. “Variably trained generative adversarial networks.” 2019. Web. 31 Oct 2020.

Vancouver:

Sridhar, Vibha 1. Variably trained generative adversarial networks. [Internet] [Masters thesis]. Rutgers University; 2019. [cited 2020 Oct 31]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60866/.

Council of Science Editors:

Sridhar, Vibha 1. Variably trained generative adversarial networks. [Masters Thesis]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60866/


University of Oxford

7. Alvi, Ahsan. Practical Bayesian optimisation for hyperparameter tuning.

Degree: PhD, 2020, University of Oxford

 Advances in machine learning have had, and continue to have, a profound effect on scientific research and industrial activities. We are able to uncover insights… (more)

Subjects/Keywords: machine learning; artificial intelligence

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APA (6th Edition):

Alvi, A. (2020). Practical Bayesian optimisation for hyperparameter tuning. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:08e836e1-74bc-4b6e-956c-703197398654 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.813654

Chicago Manual of Style (16th Edition):

Alvi, Ahsan. “Practical Bayesian optimisation for hyperparameter tuning.” 2020. Doctoral Dissertation, University of Oxford. Accessed October 31, 2020. http://ora.ox.ac.uk/objects/uuid:08e836e1-74bc-4b6e-956c-703197398654 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.813654.

MLA Handbook (7th Edition):

Alvi, Ahsan. “Practical Bayesian optimisation for hyperparameter tuning.” 2020. Web. 31 Oct 2020.

Vancouver:

Alvi A. Practical Bayesian optimisation for hyperparameter tuning. [Internet] [Doctoral dissertation]. University of Oxford; 2020. [cited 2020 Oct 31]. Available from: http://ora.ox.ac.uk/objects/uuid:08e836e1-74bc-4b6e-956c-703197398654 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.813654.

Council of Science Editors:

Alvi A. Practical Bayesian optimisation for hyperparameter tuning. [Doctoral Dissertation]. University of Oxford; 2020. Available from: http://ora.ox.ac.uk/objects/uuid:08e836e1-74bc-4b6e-956c-703197398654 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.813654


Vanderbilt University

8. Fan, Jing. Models of Adaptation in Intelligent Human-Machine Interaction and Their Applications to Elder Care and Autism Spectrum Disorder Intervention.

Degree: PhD, Electrical Engineering, 2019, Vanderbilt University

 The role of human-machine interaction (HMI) has been increasingly important in our everyday lives. This dissertation focused on creating formal methods, algorithms, and architectures for… (more)

Subjects/Keywords: affective computing; machine intelligence; human-machine interaction

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APA (6th Edition):

Fan, J. (2019). Models of Adaptation in Intelligent Human-Machine Interaction and Their Applications to Elder Care and Autism Spectrum Disorder Intervention. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12310

Chicago Manual of Style (16th Edition):

Fan, Jing. “Models of Adaptation in Intelligent Human-Machine Interaction and Their Applications to Elder Care and Autism Spectrum Disorder Intervention.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed October 31, 2020. http://hdl.handle.net/1803/12310.

MLA Handbook (7th Edition):

Fan, Jing. “Models of Adaptation in Intelligent Human-Machine Interaction and Their Applications to Elder Care and Autism Spectrum Disorder Intervention.” 2019. Web. 31 Oct 2020.

Vancouver:

Fan J. Models of Adaptation in Intelligent Human-Machine Interaction and Their Applications to Elder Care and Autism Spectrum Disorder Intervention. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/1803/12310.

Council of Science Editors:

Fan J. Models of Adaptation in Intelligent Human-Machine Interaction and Their Applications to Elder Care and Autism Spectrum Disorder Intervention. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/12310


Queensland University of Technology

9. Lai, Khai Ping. A deep learning model for automatic image texture classification: Application to vision-based automatic aircraft landing.

Degree: 2016, Queensland University of Technology

This project aims to investigate a robust Deep Learning architecture to classify different type of textural imagery. The findings will eventually be part of a central processing algorithm used for Automatic Image Classification for Automatic Aircraft Landing.

Subjects/Keywords: physics; raytracing; data science; machine learning; intelligence

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APA (6th Edition):

Lai, K. P. (2016). A deep learning model for automatic image texture classification: Application to vision-based automatic aircraft landing. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/97992/

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):

Lai, Khai Ping. “A deep learning model for automatic image texture classification: Application to vision-based automatic aircraft landing.” 2016. Thesis, Queensland University of Technology. Accessed October 31, 2020. http://eprints.qut.edu.au/97992/.

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

MLA Handbook (7th Edition):

Lai, Khai Ping. “A deep learning model for automatic image texture classification: Application to vision-based automatic aircraft landing.” 2016. Web. 31 Oct 2020.

Vancouver:

Lai KP. A deep learning model for automatic image texture classification: Application to vision-based automatic aircraft landing. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2020 Oct 31]. Available from: http://eprints.qut.edu.au/97992/.

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

Council of Science Editors:

Lai KP. A deep learning model for automatic image texture classification: Application to vision-based automatic aircraft landing. [Thesis]. Queensland University of Technology; 2016. Available from: http://eprints.qut.edu.au/97992/

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


NSYSU

10. Sun, Rui-Ting. A magnetic intruder detection system based on cloud computing.

Degree: Master, Electrical Engineering, 2012, NSYSU

 Taiwan is surrounded by ocean, thus the ocean transportation has become the necessary support of Taiwan's economy. Due to this fact, this research provides a… (more)

Subjects/Keywords: machine learning; artificial intelligence; cloud computing

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APA (6th Edition):

Sun, R. (2012). A magnetic intruder detection system based on cloud computing. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1121112-102954

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

Chicago Manual of Style (16th Edition):

Sun, Rui-Ting. “A magnetic intruder detection system based on cloud computing.” 2012. Thesis, NSYSU. Accessed October 31, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1121112-102954.

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

MLA Handbook (7th Edition):

Sun, Rui-Ting. “A magnetic intruder detection system based on cloud computing.” 2012. Web. 31 Oct 2020.

Vancouver:

Sun R. A magnetic intruder detection system based on cloud computing. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Oct 31]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1121112-102954.

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

Council of Science Editors:

Sun R. A magnetic intruder detection system based on cloud computing. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1121112-102954

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


University of Alberta

11. Erickson, Graham KS. State Evaluation and Opponent Modelling in Real-Time Strategy Games.

Degree: MS, Department of Computing Science, 2014, University of Alberta

 Designing competitive Artificial Intelligence (AI) systems for Real-Time Strategy (RTS) games often requires a large amount of expert knowledge (resulting in hard-coded rules for the… (more)

Subjects/Keywords: Machine Learning; Artificial Intelligence; Real-Time Strategy

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APA (6th Edition):

Erickson, G. K. (2014). State Evaluation and Opponent Modelling in Real-Time Strategy Games. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/tx31qj27g

Chicago Manual of Style (16th Edition):

Erickson, Graham KS. “State Evaluation and Opponent Modelling in Real-Time Strategy Games.” 2014. Masters Thesis, University of Alberta. Accessed October 31, 2020. https://era.library.ualberta.ca/files/tx31qj27g.

MLA Handbook (7th Edition):

Erickson, Graham KS. “State Evaluation and Opponent Modelling in Real-Time Strategy Games.” 2014. Web. 31 Oct 2020.

Vancouver:

Erickson GK. State Evaluation and Opponent Modelling in Real-Time Strategy Games. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2020 Oct 31]. Available from: https://era.library.ualberta.ca/files/tx31qj27g.

Council of Science Editors:

Erickson GK. State Evaluation and Opponent Modelling in Real-Time Strategy Games. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/tx31qj27g


University of Alberta

12. White, Martha. Regularized factor models.

Degree: PhD, Department of Computing Science, 2014, University of Alberta

 This dissertation explores regularized factor models as a simple unification of machine learn- ing problems, with a focus on algorithmic development within this known formalism.… (more)

Subjects/Keywords: machine learning; artificial intelligence; unsupervised learning

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APA (6th Edition):

White, M. (2014). Regularized factor models. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/gq67jt70x

Chicago Manual of Style (16th Edition):

White, Martha. “Regularized factor models.” 2014. Doctoral Dissertation, University of Alberta. Accessed October 31, 2020. https://era.library.ualberta.ca/files/gq67jt70x.

MLA Handbook (7th Edition):

White, Martha. “Regularized factor models.” 2014. Web. 31 Oct 2020.

Vancouver:

White M. Regularized factor models. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2020 Oct 31]. Available from: https://era.library.ualberta.ca/files/gq67jt70x.

Council of Science Editors:

White M. Regularized factor models. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/gq67jt70x


University of Alberta

13. Yang, Youliang. Artificial intelligence in electrical machine condition monitoring.

Degree: MS, Department of Electrical and Computer Engineering, 2009, University of Alberta

 Electrical machine condition monitoring plays an important role in modern industries. Instead of allowing the machines to run until failure, it is preferred to gather… (more)

Subjects/Keywords: electrical machine condition monitoring; artificial intelligence

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APA (6th Edition):

Yang, Y. (2009). Artificial intelligence in electrical machine condition monitoring. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/k0698772h

Chicago Manual of Style (16th Edition):

Yang, Youliang. “Artificial intelligence in electrical machine condition monitoring.” 2009. Masters Thesis, University of Alberta. Accessed October 31, 2020. https://era.library.ualberta.ca/files/k0698772h.

MLA Handbook (7th Edition):

Yang, Youliang. “Artificial intelligence in electrical machine condition monitoring.” 2009. Web. 31 Oct 2020.

Vancouver:

Yang Y. Artificial intelligence in electrical machine condition monitoring. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2020 Oct 31]. Available from: https://era.library.ualberta.ca/files/k0698772h.

Council of Science Editors:

Yang Y. Artificial intelligence in electrical machine condition monitoring. [Masters Thesis]. University of Alberta; 2009. Available from: https://era.library.ualberta.ca/files/k0698772h


Cornell University

14. Schmidt, Michael. Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems.

Degree: PhD, Computational Biology, 2011, Cornell University

 The work presented here advances the technology to analyze experimental data and automatically hypothesize about explanatory models and physical laws that help explain observations. Automated… (more)

Subjects/Keywords: Machine Science; Artificial Intelligence; Evolutionary Computation

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APA (6th Edition):

Schmidt, M. (2011). Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33574

Chicago Manual of Style (16th Edition):

Schmidt, Michael. “Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems.” 2011. Doctoral Dissertation, Cornell University. Accessed October 31, 2020. http://hdl.handle.net/1813/33574.

MLA Handbook (7th Edition):

Schmidt, Michael. “Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems.” 2011. Web. 31 Oct 2020.

Vancouver:

Schmidt M. Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/1813/33574.

Council of Science Editors:

Schmidt M. Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/33574


University of Oxford

15. Arnab, Anurag. Pixel-level scene understanding with deep structured models.

Degree: PhD, 2019, University of Oxford

 Although humans can effortlessly recognise a scene in its totality, it is an extremely challenging problem for computers which is why scene understanding remains one… (more)

Subjects/Keywords: Machine Learning; Computer Vision; Artificial Intelligence

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APA (6th Edition):

Arnab, A. (2019). Pixel-level scene understanding with deep structured models. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:f27336d2-469a-42f2-b8c2-8ca753cf6e4b ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804338

Chicago Manual of Style (16th Edition):

Arnab, Anurag. “Pixel-level scene understanding with deep structured models.” 2019. Doctoral Dissertation, University of Oxford. Accessed October 31, 2020. http://ora.ox.ac.uk/objects/uuid:f27336d2-469a-42f2-b8c2-8ca753cf6e4b ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804338.

MLA Handbook (7th Edition):

Arnab, Anurag. “Pixel-level scene understanding with deep structured models.” 2019. Web. 31 Oct 2020.

Vancouver:

Arnab A. Pixel-level scene understanding with deep structured models. [Internet] [Doctoral dissertation]. University of Oxford; 2019. [cited 2020 Oct 31]. Available from: http://ora.ox.ac.uk/objects/uuid:f27336d2-469a-42f2-b8c2-8ca753cf6e4b ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804338.

Council of Science Editors:

Arnab A. Pixel-level scene understanding with deep structured models. [Doctoral Dissertation]. University of Oxford; 2019. Available from: http://ora.ox.ac.uk/objects/uuid:f27336d2-469a-42f2-b8c2-8ca753cf6e4b ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804338


Penn State University

16. Alamoudi, Hassan. Applications of artificial intelligence and machine learning in healthcare: A cardiovascular case.

Degree: 2019, Penn State University

 Artificial Intelligence (AI) is becoming a ubiquitous term that is used in many fields of research or the popular culture. Among these fields that was… (more)

Subjects/Keywords: Artificial Intelligence; Machine Learning; Healthcare; Cardiovascular

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APA (6th Edition):

Alamoudi, H. (2019). Applications of artificial intelligence and machine learning in healthcare: A cardiovascular case. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17357haa52

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):

Alamoudi, Hassan. “Applications of artificial intelligence and machine learning in healthcare: A cardiovascular case.” 2019. Thesis, Penn State University. Accessed October 31, 2020. https://submit-etda.libraries.psu.edu/catalog/17357haa52.

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

MLA Handbook (7th Edition):

Alamoudi, Hassan. “Applications of artificial intelligence and machine learning in healthcare: A cardiovascular case.” 2019. Web. 31 Oct 2020.

Vancouver:

Alamoudi H. Applications of artificial intelligence and machine learning in healthcare: A cardiovascular case. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 31]. Available from: https://submit-etda.libraries.psu.edu/catalog/17357haa52.

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

Council of Science Editors:

Alamoudi H. Applications of artificial intelligence and machine learning in healthcare: A cardiovascular case. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17357haa52

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


University of Johannesburg

17. Ehlers, Elizabeth Marie. A hierarchy of random context grammars and automata.

Degree: 2014, University of Johannesburg

Ph.D. (Computer Science)

Traditionally a formal language can be characterized in two ways: by a generative device (a grammar) and an acceptive device (an automaton).… (more)

Subjects/Keywords: Machine theory; Formal languages; Artificial intelligence

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APA (6th Edition):

Ehlers, E. M. (2014). A hierarchy of random context grammars and automata. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/10004

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):

Ehlers, Elizabeth Marie. “A hierarchy of random context grammars and automata.” 2014. Thesis, University of Johannesburg. Accessed October 31, 2020. http://hdl.handle.net/10210/10004.

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

MLA Handbook (7th Edition):

Ehlers, Elizabeth Marie. “A hierarchy of random context grammars and automata.” 2014. Web. 31 Oct 2020.

Vancouver:

Ehlers EM. A hierarchy of random context grammars and automata. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10210/10004.

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

Council of Science Editors:

Ehlers EM. A hierarchy of random context grammars and automata. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/10004

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


University of Ottawa

18. Sharma, Shiven. Learning the Sub-Conceptual Layer: A Framework for One-Class Classification .

Degree: 2016, University of Ottawa

 In the realm of machine learning research and application, binary classification algorithms, i.e. algorithms that attempt to induce discriminant functions between two categories of data,… (more)

Subjects/Keywords: machine learning; one-class classification; artificial intelligence

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APA (6th Edition):

Sharma, S. (2016). Learning the Sub-Conceptual Layer: A Framework for One-Class Classification . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/34648

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):

Sharma, Shiven. “Learning the Sub-Conceptual Layer: A Framework for One-Class Classification .” 2016. Thesis, University of Ottawa. Accessed October 31, 2020. http://hdl.handle.net/10393/34648.

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

MLA Handbook (7th Edition):

Sharma, Shiven. “Learning the Sub-Conceptual Layer: A Framework for One-Class Classification .” 2016. Web. 31 Oct 2020.

Vancouver:

Sharma S. Learning the Sub-Conceptual Layer: A Framework for One-Class Classification . [Internet] [Thesis]. University of Ottawa; 2016. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10393/34648.

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

Council of Science Editors:

Sharma S. Learning the Sub-Conceptual Layer: A Framework for One-Class Classification . [Thesis]. University of Ottawa; 2016. Available from: http://hdl.handle.net/10393/34648

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


Victoria University of Wellington

19. Peng, Yiming. Policy Direct Search for Effective Reinforcement Learning.

Degree: 2019, Victoria University of Wellington

 Reinforcement Learning (RL) problems appear in diverse real-world applications and are gaining substantial attention in academia and industry. Policy Direct Search (PDS) is widely recognized… (more)

Subjects/Keywords: Reinforcement Learning; Machine learning; Artificial intelligence

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

APA (6th Edition):

Peng, Y. (2019). Policy Direct Search for Effective Reinforcement Learning. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/8289

Chicago Manual of Style (16th Edition):

Peng, Yiming. “Policy Direct Search for Effective Reinforcement Learning.” 2019. Doctoral Dissertation, Victoria University of Wellington. Accessed October 31, 2020. http://hdl.handle.net/10063/8289.

MLA Handbook (7th Edition):

Peng, Yiming. “Policy Direct Search for Effective Reinforcement Learning.” 2019. Web. 31 Oct 2020.

Vancouver:

Peng Y. Policy Direct Search for Effective Reinforcement Learning. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2019. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10063/8289.

Council of Science Editors:

Peng Y. Policy Direct Search for Effective Reinforcement Learning. [Doctoral Dissertation]. Victoria University of Wellington; 2019. Available from: http://hdl.handle.net/10063/8289


University of Oxford

20. Bertinetto, Luca. Learning (to learn) from few examples.

Degree: PhD, 2019, University of Oxford

 The availability of large labelled datasets has played a crucial role in the recent success of deep neural networks. However, there are many situations in… (more)

Subjects/Keywords: Computer vision; Artificial intelligence; Machine learning

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APA (6th Edition):

Bertinetto, L. (2019). Learning (to learn) from few examples. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:1f93b8a0-9a51-428b-9214-ce563161085a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.786206

Chicago Manual of Style (16th Edition):

Bertinetto, Luca. “Learning (to learn) from few examples.” 2019. Doctoral Dissertation, University of Oxford. Accessed October 31, 2020. http://ora.ox.ac.uk/objects/uuid:1f93b8a0-9a51-428b-9214-ce563161085a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.786206.

MLA Handbook (7th Edition):

Bertinetto, Luca. “Learning (to learn) from few examples.” 2019. Web. 31 Oct 2020.

Vancouver:

Bertinetto L. Learning (to learn) from few examples. [Internet] [Doctoral dissertation]. University of Oxford; 2019. [cited 2020 Oct 31]. Available from: http://ora.ox.ac.uk/objects/uuid:1f93b8a0-9a51-428b-9214-ce563161085a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.786206.

Council of Science Editors:

Bertinetto L. Learning (to learn) from few examples. [Doctoral Dissertation]. University of Oxford; 2019. Available from: http://ora.ox.ac.uk/objects/uuid:1f93b8a0-9a51-428b-9214-ce563161085a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.786206


Hong Kong University of Science and Technology

21. Zhang, Ruixiang CSE. An adversarial approach to few-shot learning.

Degree: 2018, Hong Kong University of Science and Technology

 Few-shot learning aims to enable machine learning models to learn new concepts from few labeled instances. In this thesis, we propose a conceptually simple and… (more)

Subjects/Keywords: Machine learning ; Computer algorithms ; Artificial intelligence

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

APA (6th Edition):

Zhang, R. C. (2018). An adversarial approach to few-shot learning. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-95792 ; https://doi.org/10.14711/thesis-991012636368103412 ; http://repository.ust.hk/ir/bitstream/1783.1-95792/1/th_redirect.html

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):

Zhang, Ruixiang CSE. “An adversarial approach to few-shot learning.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed October 31, 2020. http://repository.ust.hk/ir/Record/1783.1-95792 ; https://doi.org/10.14711/thesis-991012636368103412 ; http://repository.ust.hk/ir/bitstream/1783.1-95792/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhang, Ruixiang CSE. “An adversarial approach to few-shot learning.” 2018. Web. 31 Oct 2020.

Vancouver:

Zhang RC. An adversarial approach to few-shot learning. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2020 Oct 31]. Available from: http://repository.ust.hk/ir/Record/1783.1-95792 ; https://doi.org/10.14711/thesis-991012636368103412 ; http://repository.ust.hk/ir/bitstream/1783.1-95792/1/th_redirect.html.

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

Council of Science Editors:

Zhang RC. An adversarial approach to few-shot learning. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-95792 ; https://doi.org/10.14711/thesis-991012636368103412 ; http://repository.ust.hk/ir/bitstream/1783.1-95792/1/th_redirect.html

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


Tampere University

22. Imtiaz, Waleed. Fairness in Variational Autoencoders Recommenders .

Degree: 2020, Tampere University

 Recommender systems have become increasingly relevant since big giants like Amazon, Netflix, and many other web services have started to enhance user’s experience based on… (more)

Subjects/Keywords: machine learning ; recommender systems ; artificial intelligence

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APA (6th Edition):

Imtiaz, W. (2020). Fairness in Variational Autoencoders Recommenders . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/121479

Chicago Manual of Style (16th Edition):

Imtiaz, Waleed. “Fairness in Variational Autoencoders Recommenders .” 2020. Masters Thesis, Tampere University. Accessed October 31, 2020. https://trepo.tuni.fi/handle/10024/121479.

MLA Handbook (7th Edition):

Imtiaz, Waleed. “Fairness in Variational Autoencoders Recommenders .” 2020. Web. 31 Oct 2020.

Vancouver:

Imtiaz W. Fairness in Variational Autoencoders Recommenders . [Internet] [Masters thesis]. Tampere University; 2020. [cited 2020 Oct 31]. Available from: https://trepo.tuni.fi/handle/10024/121479.

Council of Science Editors:

Imtiaz W. Fairness in Variational Autoencoders Recommenders . [Masters Thesis]. Tampere University; 2020. Available from: https://trepo.tuni.fi/handle/10024/121479


Victoria University of Wellington

23. Newton, Heidi. Autonomously Learning About Meaningful Actions from Exploratory Behaviour.

Degree: 2015, Victoria University of Wellington

 The thesis addresses the problem of creating an autonomous agent that is able to learn about and use meaningful hand motor actions in a simulated… (more)

Subjects/Keywords: Artificial intelligence; Machine learning; Autonomous agents

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APA (6th Edition):

Newton, H. (2015). Autonomously Learning About Meaningful Actions from Exploratory Behaviour. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/4270

Chicago Manual of Style (16th Edition):

Newton, Heidi. “Autonomously Learning About Meaningful Actions from Exploratory Behaviour.” 2015. Masters Thesis, Victoria University of Wellington. Accessed October 31, 2020. http://hdl.handle.net/10063/4270.

MLA Handbook (7th Edition):

Newton, Heidi. “Autonomously Learning About Meaningful Actions from Exploratory Behaviour.” 2015. Web. 31 Oct 2020.

Vancouver:

Newton H. Autonomously Learning About Meaningful Actions from Exploratory Behaviour. [Internet] [Masters thesis]. Victoria University of Wellington; 2015. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10063/4270.

Council of Science Editors:

Newton H. Autonomously Learning About Meaningful Actions from Exploratory Behaviour. [Masters Thesis]. Victoria University of Wellington; 2015. Available from: http://hdl.handle.net/10063/4270


Heriot-Watt University

24. Luo, Zhiyuan. A probabilistic reasoning and learning system based on Bayesian belief networks.

Degree: PhD, 1992, Heriot-Watt University

Subjects/Keywords: 003.5; Machine intelligence

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APA (6th Edition):

Luo, Z. (1992). A probabilistic reasoning and learning system based on Bayesian belief networks. (Doctoral Dissertation). Heriot-Watt University. Retrieved from http://hdl.handle.net/10399/1490

Chicago Manual of Style (16th Edition):

Luo, Zhiyuan. “A probabilistic reasoning and learning system based on Bayesian belief networks.” 1992. Doctoral Dissertation, Heriot-Watt University. Accessed October 31, 2020. http://hdl.handle.net/10399/1490.

MLA Handbook (7th Edition):

Luo, Zhiyuan. “A probabilistic reasoning and learning system based on Bayesian belief networks.” 1992. Web. 31 Oct 2020.

Vancouver:

Luo Z. A probabilistic reasoning and learning system based on Bayesian belief networks. [Internet] [Doctoral dissertation]. Heriot-Watt University; 1992. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10399/1490.

Council of Science Editors:

Luo Z. A probabilistic reasoning and learning system based on Bayesian belief networks. [Doctoral Dissertation]. Heriot-Watt University; 1992. Available from: http://hdl.handle.net/10399/1490


Kansas State University

25. Stanescu, Ana. Semi-supervised learning for biological sequence classification.

Degree: PhD, Department of Computing and Information Sciences, 2015, Kansas State University

 Successful advances in biochemical technologies have led to inexpensive, time-efficient production of massive volumes of data, DNA and protein sequences. As a result, numerous computational… (more)

Subjects/Keywords: Computer science; Artificial intelligence; Bioformatics; Machine learning

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APA (6th Edition):

Stanescu, A. (2015). Semi-supervised learning for biological sequence classification. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/35810

Chicago Manual of Style (16th Edition):

Stanescu, Ana. “Semi-supervised learning for biological sequence classification.” 2015. Doctoral Dissertation, Kansas State University. Accessed October 31, 2020. http://hdl.handle.net/2097/35810.

MLA Handbook (7th Edition):

Stanescu, Ana. “Semi-supervised learning for biological sequence classification.” 2015. Web. 31 Oct 2020.

Vancouver:

Stanescu A. Semi-supervised learning for biological sequence classification. [Internet] [Doctoral dissertation]. Kansas State University; 2015. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/2097/35810.

Council of Science Editors:

Stanescu A. Semi-supervised learning for biological sequence classification. [Doctoral Dissertation]. Kansas State University; 2015. Available from: http://hdl.handle.net/2097/35810


University of Waterloo

26. Melibari, Mazen. Directly Learning Tractable Models for Sequential Inference and DecisionMaking.

Degree: 2016, University of Waterloo

 Probabilistic graphical models such as Bayesian networks and Markov networks provide a general framework to represent multivariate distributions while exploiting conditional independence. Over the years,… (more)

Subjects/Keywords: Artificial Intelligence; Machine Learning; Tractable Inference

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APA (6th Edition):

Melibari, M. (2016). Directly Learning Tractable Models for Sequential Inference and DecisionMaking. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10562

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):

Melibari, Mazen. “Directly Learning Tractable Models for Sequential Inference and DecisionMaking.” 2016. Thesis, University of Waterloo. Accessed October 31, 2020. http://hdl.handle.net/10012/10562.

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

MLA Handbook (7th Edition):

Melibari, Mazen. “Directly Learning Tractable Models for Sequential Inference and DecisionMaking.” 2016. Web. 31 Oct 2020.

Vancouver:

Melibari M. Directly Learning Tractable Models for Sequential Inference and DecisionMaking. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10012/10562.

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

Council of Science Editors:

Melibari M. Directly Learning Tractable Models for Sequential Inference and DecisionMaking. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10562

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


California State University – Sacramento

27. Patel, Palak Anilkumar. Millimeter wave positioning with deep learning.

Degree: MS, Computer Science, 2020, California State University – Sacramento

 Fifth generation (5G) networks introduces new paradigm to wireless technology and communications. Millimeter wave is class of Radar technology which has very short wavelength and… (more)

Subjects/Keywords: Wireless communication systems; Computational intelligence; Machine learning

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

APA (6th Edition):

Patel, P. A. (2020). Millimeter wave positioning with deep learning. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/214825

Chicago Manual of Style (16th Edition):

Patel, Palak Anilkumar. “Millimeter wave positioning with deep learning.” 2020. Masters Thesis, California State University – Sacramento. Accessed October 31, 2020. http://hdl.handle.net/10211.3/214825.

MLA Handbook (7th Edition):

Patel, Palak Anilkumar. “Millimeter wave positioning with deep learning.” 2020. Web. 31 Oct 2020.

Vancouver:

Patel PA. Millimeter wave positioning with deep learning. [Internet] [Masters thesis]. California State University – Sacramento; 2020. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10211.3/214825.

Council of Science Editors:

Patel PA. Millimeter wave positioning with deep learning. [Masters Thesis]. California State University – Sacramento; 2020. Available from: http://hdl.handle.net/10211.3/214825


University of Oklahoma

28. Suh, Joohee. The Context-Aware Learning Model.

Degree: PhD, 2017, University of Oklahoma

 The ultimate goal of this research is to build a novel, generalized, arbitrary-depth, neural controller that performs reward- and experience-based neuromodulatory learning, which is online,… (more)

Subjects/Keywords: Computer Science; Machine Learning; Artificial Intelligence; Robotics

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APA (6th Edition):

Suh, J. (2017). The Context-Aware Learning Model. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/51950

Chicago Manual of Style (16th Edition):

Suh, Joohee. “The Context-Aware Learning Model.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed October 31, 2020. http://hdl.handle.net/11244/51950.

MLA Handbook (7th Edition):

Suh, Joohee. “The Context-Aware Learning Model.” 2017. Web. 31 Oct 2020.

Vancouver:

Suh J. The Context-Aware Learning Model. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/11244/51950.

Council of Science Editors:

Suh J. The Context-Aware Learning Model. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/51950


University of California – Berkeley

29. Song, Hyun Oh. Learning with Parsimony for Large Scale Object Detection and Discovery.

Degree: Computer Science, 2014, University of California – Berkeley

 Approximately 85% of internet traffic is estimated to be visual data. Conventional object detection algorithms are not yet suitable to harness this unconstrained, massive visual… (more)

Subjects/Keywords: Computer science; Artificial intelligence; Artificial Intelligence; Computer Vision; Machine Learning

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

APA (6th Edition):

Song, H. O. (2014). Learning with Parsimony for Large Scale Object Detection and Discovery. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/1s81n2m6

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):

Song, Hyun Oh. “Learning with Parsimony for Large Scale Object Detection and Discovery.” 2014. Thesis, University of California – Berkeley. Accessed October 31, 2020. http://www.escholarship.org/uc/item/1s81n2m6.

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

MLA Handbook (7th Edition):

Song, Hyun Oh. “Learning with Parsimony for Large Scale Object Detection and Discovery.” 2014. Web. 31 Oct 2020.

Vancouver:

Song HO. Learning with Parsimony for Large Scale Object Detection and Discovery. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2020 Oct 31]. Available from: http://www.escholarship.org/uc/item/1s81n2m6.

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

Council of Science Editors:

Song HO. Learning with Parsimony for Large Scale Object Detection and Discovery. [Thesis]. University of California – Berkeley; 2014. Available from: http://www.escholarship.org/uc/item/1s81n2m6

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


University of Waterloo

30. Chung, Audrey. Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks.

Degree: 2020, University of Waterloo

Machine learning methods, and particularly deep neural networks, are a rapidly growing field and are currently being employed in domains such as science, business, and… (more)

Subjects/Keywords: artificial intelligence; efficient; machine learning; evolutionary deep intelligence; neural networks

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

APA (6th Edition):

Chung, A. (2020). Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15627

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):

Chung, Audrey. “Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks.” 2020. Thesis, University of Waterloo. Accessed October 31, 2020. http://hdl.handle.net/10012/15627.

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

MLA Handbook (7th Edition):

Chung, Audrey. “Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks.” 2020. Web. 31 Oct 2020.

Vancouver:

Chung A. Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10012/15627.

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

Council of Science Editors:

Chung A. Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/15627

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

[1] [2] [3] [4] [5] … [42]

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