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You searched for subject:( interactive machine learning). Showing records 1 – 30 of 50197 total matches.

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Cornell University

1. Raman, Karthik. Machine Learning From Human Preferences And Choices .

Degree: 2015, Cornell University

 This dissertation focuses on developing new machine learning models and algorithms for the task of learning from data that originates from human-system interactions i.e., the… (more)

Subjects/Keywords: Machine Learning; Human Behavioral Data; Interactive Learning

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APA (6th Edition):

Raman, K. (2015). Machine Learning From Human Preferences And Choices . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/40961

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):

Raman, Karthik. “Machine Learning From Human Preferences And Choices .” 2015. Thesis, Cornell University. Accessed March 21, 2019. http://hdl.handle.net/1813/40961.

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

MLA Handbook (7th Edition):

Raman, Karthik. “Machine Learning From Human Preferences And Choices .” 2015. Web. 21 Mar 2019.

Vancouver:

Raman K. Machine Learning From Human Preferences And Choices . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/1813/40961.

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

Council of Science Editors:

Raman K. Machine Learning From Human Preferences And Choices . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40961

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


Cornell University

2. Schnabel, Tobias Benjamin. Improving Machine Learning Beyond the Algorithm .

Degree: 2018, Cornell University

 In interactive machine learning systems (IMLSs), such as search engines, social networks, and e-commerce sites, machine learning algorithms and user interfaces are inseparably linked. My… (more)

Subjects/Keywords: machine learning; Human-Computer Interaction; artifical intelligence; interactive systems; Computer science

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APA (6th Edition):

Schnabel, T. B. (2018). Improving Machine Learning Beyond the Algorithm . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59550

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):

Schnabel, Tobias Benjamin. “Improving Machine Learning Beyond the Algorithm .” 2018. Thesis, Cornell University. Accessed March 21, 2019. http://hdl.handle.net/1813/59550.

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

MLA Handbook (7th Edition):

Schnabel, Tobias Benjamin. “Improving Machine Learning Beyond the Algorithm .” 2018. Web. 21 Mar 2019.

Vancouver:

Schnabel TB. Improving Machine Learning Beyond the Algorithm . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/1813/59550.

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

Council of Science Editors:

Schnabel TB. Improving Machine Learning Beyond the Algorithm . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59550

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


Brigham Young University

3. Rhees, Brooke Ellen. A Semi-Automatic Grading Experience for Digital Ink Quizzes.

Degree: MS, 2017, Brigham Young University

 Teachers who want to assess student learning and provide quality feedback are faced with a challenge when trying to grade assignments quickly. There is currently… (more)

Subjects/Keywords: education; grading; digital ink; interactive machine learning; Computer Sciences

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APA (6th Edition):

Rhees, B. E. (2017). A Semi-Automatic Grading Experience for Digital Ink Quizzes. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7245&context=etd

Chicago Manual of Style (16th Edition):

Rhees, Brooke Ellen. “A Semi-Automatic Grading Experience for Digital Ink Quizzes.” 2017. Masters Thesis, Brigham Young University. Accessed March 21, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7245&context=etd.

MLA Handbook (7th Edition):

Rhees, Brooke Ellen. “A Semi-Automatic Grading Experience for Digital Ink Quizzes.” 2017. Web. 21 Mar 2019.

Vancouver:

Rhees BE. A Semi-Automatic Grading Experience for Digital Ink Quizzes. [Internet] [Masters thesis]. Brigham Young University; 2017. [cited 2019 Mar 21]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7245&context=etd.

Council of Science Editors:

Rhees BE. A Semi-Automatic Grading Experience for Digital Ink Quizzes. [Masters Thesis]. Brigham Young University; 2017. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7245&context=etd


Cornell University

4. Labutov, Igor. Machine Learning Methods For Machine Teaching .

Degree: 2016, Cornell University

Subjects/Keywords: machine learning; machine teaching; interactive machine learning

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APA (6th Edition):

Labutov, I. (2016). Machine Learning Methods For Machine Teaching . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/45200

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):

Labutov, Igor. “Machine Learning Methods For Machine Teaching .” 2016. Thesis, Cornell University. Accessed March 21, 2019. http://hdl.handle.net/1813/45200.

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

MLA Handbook (7th Edition):

Labutov, Igor. “Machine Learning Methods For Machine Teaching .” 2016. Web. 21 Mar 2019.

Vancouver:

Labutov I. Machine Learning Methods For Machine Teaching . [Internet] [Thesis]. Cornell University; 2016. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/1813/45200.

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

Council of Science Editors:

Labutov I. Machine Learning Methods For Machine Teaching . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/45200

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


University of Michigan

5. Wang, Yue. Interactive Machine Learning with Applications in Health Informatics.

Degree: PhD, Computer Science & Engineering, 2018, University of Michigan

 Recent years have witnessed unprecedented growth of health data, including millions of biomedical research publications, electronic health records, patient discussions on health forums and social… (more)

Subjects/Keywords: Interactive Machine Learning; Health Informatics; Interactive High-ReCall Retrieval; Warm-start Active Learning; Computer Science; Engineering

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APA (6th Edition):

Wang, Y. (2018). Interactive Machine Learning with Applications in Health Informatics. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/147518

Chicago Manual of Style (16th Edition):

Wang, Yue. “Interactive Machine Learning with Applications in Health Informatics.” 2018. Doctoral Dissertation, University of Michigan. Accessed March 21, 2019. http://hdl.handle.net/2027.42/147518.

MLA Handbook (7th Edition):

Wang, Yue. “Interactive Machine Learning with Applications in Health Informatics.” 2018. Web. 21 Mar 2019.

Vancouver:

Wang Y. Interactive Machine Learning with Applications in Health Informatics. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2027.42/147518.

Council of Science Editors:

Wang Y. Interactive Machine Learning with Applications in Health Informatics. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/147518

6. Letard, Vincent. Apprentissage incrémental de modèles de domaines par interaction dialogique : Incremental Learning of Domain Models by Dialogic Interaction.

Degree: Docteur es, Informatique, 2017, Paris Saclay

 L'intelligence artificielle est la discipline de recherche d'imitation ou de remplacement de fonctions cognitives humaines. À ce titre, l'une de ses branches s'inscrit dans l'automatisation… (more)

Subjects/Keywords: Apprentissage incrémental; Systèmes interactifs; Apprentissage symbolique; Incremental learning; Interactive systems; Symbolic machine learning

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APA (6th Edition):

Letard, V. (2017). Apprentissage incrémental de modèles de domaines par interaction dialogique : Incremental Learning of Domain Models by Dialogic Interaction. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2017SACLS100

Chicago Manual of Style (16th Edition):

Letard, Vincent. “Apprentissage incrémental de modèles de domaines par interaction dialogique : Incremental Learning of Domain Models by Dialogic Interaction.” 2017. Doctoral Dissertation, Paris Saclay. Accessed March 21, 2019. http://www.theses.fr/2017SACLS100.

MLA Handbook (7th Edition):

Letard, Vincent. “Apprentissage incrémental de modèles de domaines par interaction dialogique : Incremental Learning of Domain Models by Dialogic Interaction.” 2017. Web. 21 Mar 2019.

Vancouver:

Letard V. Apprentissage incrémental de modèles de domaines par interaction dialogique : Incremental Learning of Domain Models by Dialogic Interaction. [Internet] [Doctoral dissertation]. Paris Saclay; 2017. [cited 2019 Mar 21]. Available from: http://www.theses.fr/2017SACLS100.

Council of Science Editors:

Letard V. Apprentissage incrémental de modèles de domaines par interaction dialogique : Incremental Learning of Domain Models by Dialogic Interaction. [Doctoral Dissertation]. Paris Saclay; 2017. Available from: http://www.theses.fr/2017SACLS100


University of Minnesota

7. Christakopoulou, Konstantina. Towards Recommendation Systems with Real-World Constraints.

Degree: PhD, Computer Science, 2018, University of Minnesota

 Recommendation systems have become an integral part of our everyday lives. Although there have been many works focusing on recommendation quality, many real-world aspects of… (more)

Subjects/Keywords: adversarial examples; conversational recommendation; interactive learning; machine learning; real-world constraints; recommendation systems

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APA (6th Edition):

Christakopoulou, K. (2018). Towards Recommendation Systems with Real-World Constraints. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201062

Chicago Manual of Style (16th Edition):

Christakopoulou, Konstantina. “Towards Recommendation Systems with Real-World Constraints.” 2018. Doctoral Dissertation, University of Minnesota. Accessed March 21, 2019. http://hdl.handle.net/11299/201062.

MLA Handbook (7th Edition):

Christakopoulou, Konstantina. “Towards Recommendation Systems with Real-World Constraints.” 2018. Web. 21 Mar 2019.

Vancouver:

Christakopoulou K. Towards Recommendation Systems with Real-World Constraints. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/11299/201062.

Council of Science Editors:

Christakopoulou K. Towards Recommendation Systems with Real-World Constraints. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201062

8. González Rubio, Jesús. On the effective deployment of current machine translation technology .

Degree: 2014, Universitat Politècnica de València

Machine translation is a fundamental technology that is gaining more importance each day in our multilingual society. Companies and particulars are turning their attention to… (more)

Subjects/Keywords: Statistical machine translation; Minimum Bayes' Risk; System combination; Partial least squares regression; Quality estimation; Confidence measures; Interactive machine translation; Interactive translation prediction; Active Interaction; Active learning; Online learning

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APA (6th Edition):

González Rubio, J. (2014). On the effective deployment of current machine translation technology . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/37888

Chicago Manual of Style (16th Edition):

González Rubio, Jesús. “On the effective deployment of current machine translation technology .” 2014. Doctoral Dissertation, Universitat Politècnica de València. Accessed March 21, 2019. http://hdl.handle.net/10251/37888.

MLA Handbook (7th Edition):

González Rubio, Jesús. “On the effective deployment of current machine translation technology .” 2014. Web. 21 Mar 2019.

Vancouver:

González Rubio J. On the effective deployment of current machine translation technology . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2014. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/10251/37888.

Council of Science Editors:

González Rubio J. On the effective deployment of current machine translation technology . [Doctoral Dissertation]. Universitat Politècnica de València; 2014. Available from: http://hdl.handle.net/10251/37888


University of New South Wales

9. Arshad, Syed Zeeshan. Real-time cognitive workload measures: investigating user mouse activity and machine learning.

Degree: Computer Science & Engineering, 2017, University of New South Wales

 This thesis is set in the context of solving the problem of user’s cognitive workload in real-time, which is a complex multifaceted problem. Attempts have… (more)

Subjects/Keywords: Interactive machine learning; Cognitive workload; User mouse dynamics; Pause/hesitation analysis; Cognitive workload framework; Load-effort homeostasis; Interactive machine learning; Trajectory analysis

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APA (6th Edition):

Arshad, S. Z. (2017). Real-time cognitive workload measures: investigating user mouse activity and machine learning. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58515

Chicago Manual of Style (16th Edition):

Arshad, Syed Zeeshan. “Real-time cognitive workload measures: investigating user mouse activity and machine learning.” 2017. Doctoral Dissertation, University of New South Wales. Accessed March 21, 2019. http://handle.unsw.edu.au/1959.4/58515.

MLA Handbook (7th Edition):

Arshad, Syed Zeeshan. “Real-time cognitive workload measures: investigating user mouse activity and machine learning.” 2017. Web. 21 Mar 2019.

Vancouver:

Arshad SZ. Real-time cognitive workload measures: investigating user mouse activity and machine learning. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2019 Mar 21]. Available from: http://handle.unsw.edu.au/1959.4/58515.

Council of Science Editors:

Arshad SZ. Real-time cognitive workload measures: investigating user mouse activity and machine learning. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58515


Georgia Tech

10. Park, Hae Won. Robot learners: interactive instance-based learning with social robots.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 On one hand, academic and industrial researchers have been developing and deploying robots that are used as educational tutors, mediators, and motivational tools. On the… (more)

Subjects/Keywords: Robotics; Socially assistive robotics; Case-based reasoning; Interactive machine learning; Touchscreen mobile device

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APA (6th Edition):

Park, H. W. (2014). Robot learners: interactive instance-based learning with social robots. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53442

Chicago Manual of Style (16th Edition):

Park, Hae Won. “Robot learners: interactive instance-based learning with social robots.” 2014. Doctoral Dissertation, Georgia Tech. Accessed March 21, 2019. http://hdl.handle.net/1853/53442.

MLA Handbook (7th Edition):

Park, Hae Won. “Robot learners: interactive instance-based learning with social robots.” 2014. Web. 21 Mar 2019.

Vancouver:

Park HW. Robot learners: interactive instance-based learning with social robots. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/1853/53442.

Council of Science Editors:

Park HW. Robot learners: interactive instance-based learning with social robots. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53442


University of Sydney

11. Martin, Aengus Gabriel. Methods to Support End User Design of Arrangement-Level Musical Decision Making .

Degree: 2013, University of Sydney

 This thesis is concerned with the study of methods and models to support the design of systems that perform music autonomously, by non-programming end users.… (more)

Subjects/Keywords: Music; Machine Learning; Human-Computer Interaction; Artificial Intelligence; Interactive Music Systems; Generative Music

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APA (6th Edition):

Martin, A. G. (2013). Methods to Support End User Design of Arrangement-Level Musical Decision Making . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/10535

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):

Martin, Aengus Gabriel. “Methods to Support End User Design of Arrangement-Level Musical Decision Making .” 2013. Thesis, University of Sydney. Accessed March 21, 2019. http://hdl.handle.net/2123/10535.

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

MLA Handbook (7th Edition):

Martin, Aengus Gabriel. “Methods to Support End User Design of Arrangement-Level Musical Decision Making .” 2013. Web. 21 Mar 2019.

Vancouver:

Martin AG. Methods to Support End User Design of Arrangement-Level Musical Decision Making . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2123/10535.

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

Council of Science Editors:

Martin AG. Methods to Support End User Design of Arrangement-Level Musical Decision Making . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/10535

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


Vanderbilt University

12. Gobbel, Glenn Temple. Assisted annotation of biomedical text using rapTAT, an online learning-based tool.

Degree: MS, Biomedical Informatics, 2013, Vanderbilt University

 Clinical providers frequently document patient encounters using unstructured text. Although such text contains a wealth of data useful for improving healthcare, extracting it can be… (more)

Subjects/Keywords: NLP; medical informatics computing; pre-annotation; clinical informatics; Bayesian prediction; interactive machine learning

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APA (6th Edition):

Gobbel, G. T. (2013). Assisted annotation of biomedical text using rapTAT, an online learning-based tool. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-12022013-124632/ ;

Chicago Manual of Style (16th Edition):

Gobbel, Glenn Temple. “Assisted annotation of biomedical text using rapTAT, an online learning-based tool.” 2013. Masters Thesis, Vanderbilt University. Accessed March 21, 2019. http://etd.library.vanderbilt.edu//available/etd-12022013-124632/ ;.

MLA Handbook (7th Edition):

Gobbel, Glenn Temple. “Assisted annotation of biomedical text using rapTAT, an online learning-based tool.” 2013. Web. 21 Mar 2019.

Vancouver:

Gobbel GT. Assisted annotation of biomedical text using rapTAT, an online learning-based tool. [Internet] [Masters thesis]. Vanderbilt University; 2013. [cited 2019 Mar 21]. Available from: http://etd.library.vanderbilt.edu//available/etd-12022013-124632/ ;.

Council of Science Editors:

Gobbel GT. Assisted annotation of biomedical text using rapTAT, an online learning-based tool. [Masters Thesis]. Vanderbilt University; 2013. Available from: http://etd.library.vanderbilt.edu//available/etd-12022013-124632/ ;


University of Plymouth

13. Senft, Emmanuel. Teaching robots social autonomy from in situ human supervision.

Degree: PhD, 2018, University of Plymouth

 Traditionally the behaviour of social robots has been programmed. However, increasingly there has been a focus on letting robots learn their behaviour to some extent… (more)

Subjects/Keywords: Human-Robot Interaction; Interactive Machine Learning; Cognitive Robotics; Progressive Autonomy; Social Robotics

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APA (6th Edition):

Senft, E. (2018). Teaching robots social autonomy from in situ human supervision. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/13077

Chicago Manual of Style (16th Edition):

Senft, Emmanuel. “Teaching robots social autonomy from in situ human supervision.” 2018. Doctoral Dissertation, University of Plymouth. Accessed March 21, 2019. http://hdl.handle.net/10026.1/13077.

MLA Handbook (7th Edition):

Senft, Emmanuel. “Teaching robots social autonomy from in situ human supervision.” 2018. Web. 21 Mar 2019.

Vancouver:

Senft E. Teaching robots social autonomy from in situ human supervision. [Internet] [Doctoral dissertation]. University of Plymouth; 2018. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/10026.1/13077.

Council of Science Editors:

Senft E. Teaching robots social autonomy from in situ human supervision. [Doctoral Dissertation]. University of Plymouth; 2018. Available from: http://hdl.handle.net/10026.1/13077


University of Edinburgh

14. Seeker, Volker Günter. User experience driven CPU frequency scaling on mobile devices : towards better energy efficiency.

Degree: PhD, 2017, University of Edinburgh

 With the development of modern smartphones, mobile devices have become ubiquitous in our daily lives. With high processing capabilities and a vast number of applications,… (more)

Subjects/Keywords: user experience; Android; mobile computing; energy efficiency; machine learning; reinforcement learning; interactive workloads; Cpu frequency governor

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APA (6th Edition):

Seeker, V. G. (2017). User experience driven CPU frequency scaling on mobile devices : towards better energy efficiency. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/29583

Chicago Manual of Style (16th Edition):

Seeker, Volker Günter. “User experience driven CPU frequency scaling on mobile devices : towards better energy efficiency.” 2017. Doctoral Dissertation, University of Edinburgh. Accessed March 21, 2019. http://hdl.handle.net/1842/29583.

MLA Handbook (7th Edition):

Seeker, Volker Günter. “User experience driven CPU frequency scaling on mobile devices : towards better energy efficiency.” 2017. Web. 21 Mar 2019.

Vancouver:

Seeker VG. User experience driven CPU frequency scaling on mobile devices : towards better energy efficiency. [Internet] [Doctoral dissertation]. University of Edinburgh; 2017. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/1842/29583.

Council of Science Editors:

Seeker VG. User experience driven CPU frequency scaling on mobile devices : towards better energy efficiency. [Doctoral Dissertation]. University of Edinburgh; 2017. Available from: http://hdl.handle.net/1842/29583


Delft University of Technology

15. Smits, E.A.P. Interactive learning for video content analysis:.

Degree: Electrical Engineering, Mathematics and Computer Science, Information and Communication Technology (ICT), 2008, Delft University of Technology

 We propose a method for identifying segments of a video that represent the events preferred by the user. Possible applications are personalized browsing through music… (more)

Subjects/Keywords: interactive learning; video

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APA (6th Edition):

Smits, E. A. P. (2008). Interactive learning for video content analysis:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:51d9ddff-4ff1-494d-8070-c246b073e3d4

Chicago Manual of Style (16th Edition):

Smits, E A P. “Interactive learning for video content analysis:.” 2008. Masters Thesis, Delft University of Technology. Accessed March 21, 2019. http://resolver.tudelft.nl/uuid:51d9ddff-4ff1-494d-8070-c246b073e3d4.

MLA Handbook (7th Edition):

Smits, E A P. “Interactive learning for video content analysis:.” 2008. Web. 21 Mar 2019.

Vancouver:

Smits EAP. Interactive learning for video content analysis:. [Internet] [Masters thesis]. Delft University of Technology; 2008. [cited 2019 Mar 21]. Available from: http://resolver.tudelft.nl/uuid:51d9ddff-4ff1-494d-8070-c246b073e3d4.

Council of Science Editors:

Smits EAP. Interactive learning for video content analysis:. [Masters Thesis]. Delft University of Technology; 2008. Available from: http://resolver.tudelft.nl/uuid:51d9ddff-4ff1-494d-8070-c246b073e3d4


Oregon State University

16. 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 21, 2019. http://hdl.handle.net/1957/10191.

MLA Handbook (7th Edition):

Vatturi, Pavan Kumar. “Rare category detection using hierarchical mean shift.” 2009. Web. 21 Mar 2019.

Vancouver:

Vatturi PK. Rare category detection using hierarchical mean shift. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Mar 21]. 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

17. 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 21, 2019. http://hdl.handle.net/1957/12549.

MLA Handbook (7th Edition):

Bao, Xinlong. “Applying machine learning for prediction, recommendation, and integration.” 2009. Web. 21 Mar 2019.

Vancouver:

Bao X. Applying machine learning for prediction, recommendation, and integration. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Mar 21]. 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

18. 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 21, 2019. http://hdl.handle.net/1957/59159.

MLA Handbook (7th Edition):

Liu, Liping. “Machine Learning Methods for Computational Sustainability.” 2016. Web. 21 Mar 2019.

Vancouver:

Liu L. Machine Learning Methods for Computational Sustainability. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2019 Mar 21]. 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

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

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 21, 2019. 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. 21 Mar 2019.

Vancouver:

Hooper S. Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale. [Internet] [Masters thesis]. Oregon State University; 2017. [cited 2019 Mar 21]. 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

20. Lai, Hien Phuong. Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases.

Degree: Docteur es, Informatique et applications, 2013, La Rochelle

 Cette thèse s'inscrit dans la problématique de l'indexation et la recherche d'images par le contenu dans des bases d'images volumineuses. Les systèmes traditionnels de recherche… (more)

Subjects/Keywords: Indexation d'images; Clustering semi-supervisé; Clustering interactif; Apprentissage; Image indexing; Semi-supervised clustering; Interactive clustering; Machine learning

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

APA (6th Edition):

Lai, H. P. (2013). Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases. (Doctoral Dissertation). La Rochelle. Retrieved from http://www.theses.fr/2013LAROS409

Chicago Manual of Style (16th Edition):

Lai, Hien Phuong. “Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases.” 2013. Doctoral Dissertation, La Rochelle. Accessed March 21, 2019. http://www.theses.fr/2013LAROS409.

MLA Handbook (7th Edition):

Lai, Hien Phuong. “Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases.” 2013. Web. 21 Mar 2019.

Vancouver:

Lai HP. Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases. [Internet] [Doctoral dissertation]. La Rochelle; 2013. [cited 2019 Mar 21]. Available from: http://www.theses.fr/2013LAROS409.

Council of Science Editors:

Lai HP. Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases. [Doctoral Dissertation]. La Rochelle; 2013. Available from: http://www.theses.fr/2013LAROS409

21. Klava, Bruno. Redução no esforço de interação em segmentação de imagens digitais através de aprendizagem computacional.

Degree: PhD, Ciência da Computação, 2014, University of São Paulo

A segmentação é um passo importante em praticamente todas as tarefas que envolvem processamento de imagens digitais. Devido à variedade de imagens e diferentes necessidades… (more)

Subjects/Keywords: aprendizado computacional; hierarchical watershed; hierarchy of partitions; hierarquia de partições; interactive image segmentation; machine learning; segmentação interativa de imagens; watershed hierárquico

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

APA (6th Edition):

Klava, B. (2014). Redução no esforço de interação em segmentação de imagens digitais através de aprendizagem computacional. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-08122014-152731/ ;

Chicago Manual of Style (16th Edition):

Klava, Bruno. “Redução no esforço de interação em segmentação de imagens digitais através de aprendizagem computacional.” 2014. Doctoral Dissertation, University of São Paulo. Accessed March 21, 2019. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-08122014-152731/ ;.

MLA Handbook (7th Edition):

Klava, Bruno. “Redução no esforço de interação em segmentação de imagens digitais através de aprendizagem computacional.” 2014. Web. 21 Mar 2019.

Vancouver:

Klava B. Redução no esforço de interação em segmentação de imagens digitais através de aprendizagem computacional. [Internet] [Doctoral dissertation]. University of São Paulo; 2014. [cited 2019 Mar 21]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-08122014-152731/ ;.

Council of Science Editors:

Klava B. Redução no esforço de interação em segmentação de imagens digitais através de aprendizagem computacional. [Doctoral Dissertation]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-08122014-152731/ ;


University of Manitoba

22. Rea, Daniel J. PaintBoard: prototyping interactive character behaviours by digitally painting storyboards.

Degree: Computer Science, 2015, University of Manitoba

 The creation of interactive computer-controlled characters in interactive media is a challenging and multi-faceted task requiring the skills and effort of professionals from many fields.… (more)

Subjects/Keywords: End-user programming; interactive systems; sketch interface; prototyping; interface design; machine learning; User interfaces; User-centered design

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

APA (6th Edition):

Rea, D. J. (2015). PaintBoard: prototyping interactive character behaviours by digitally painting storyboards. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/30249

Chicago Manual of Style (16th Edition):

Rea, Daniel J. “PaintBoard: prototyping interactive character behaviours by digitally painting storyboards.” 2015. Masters Thesis, University of Manitoba. Accessed March 21, 2019. http://hdl.handle.net/1993/30249.

MLA Handbook (7th Edition):

Rea, Daniel J. “PaintBoard: prototyping interactive character behaviours by digitally painting storyboards.” 2015. Web. 21 Mar 2019.

Vancouver:

Rea DJ. PaintBoard: prototyping interactive character behaviours by digitally painting storyboards. [Internet] [Masters thesis]. University of Manitoba; 2015. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/1993/30249.

Council of Science Editors:

Rea DJ. PaintBoard: prototyping interactive character behaviours by digitally painting storyboards. [Masters Thesis]. University of Manitoba; 2015. Available from: http://hdl.handle.net/1993/30249


University of Georgia

23. U, Man Chon. Improving learning outcomes by using clustering validity analysis to reduce label uncertainty.

Degree: PhD, Computer Science, 2013, University of Georgia

 When people make critical decisions, they often consider the opinions of multiple experts from different domains rather than committing themselves to a single expert or… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

U, M. C. (2013). Improving learning outcomes by using clustering validity analysis to reduce label uncertainty. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/u_man-chon_201308_phd

Chicago Manual of Style (16th Edition):

U, Man Chon. “Improving learning outcomes by using clustering validity analysis to reduce label uncertainty.” 2013. Doctoral Dissertation, University of Georgia. Accessed March 21, 2019. http://purl.galileo.usg.edu/uga_etd/u_man-chon_201308_phd.

MLA Handbook (7th Edition):

U, Man Chon. “Improving learning outcomes by using clustering validity analysis to reduce label uncertainty.” 2013. Web. 21 Mar 2019.

Vancouver:

U MC. Improving learning outcomes by using clustering validity analysis to reduce label uncertainty. [Internet] [Doctoral dissertation]. University of Georgia; 2013. [cited 2019 Mar 21]. Available from: http://purl.galileo.usg.edu/uga_etd/u_man-chon_201308_phd.

Council of Science Editors:

U MC. Improving learning outcomes by using clustering validity analysis to reduce label uncertainty. [Doctoral Dissertation]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/u_man-chon_201308_phd


University of Georgia

24. Richardson, William Dale. Evolutionary instance resampling for difficult data sets.

Degree: MS, Artificial Intelligence, 2013, University of Georgia

 In the field of machine learning, properties of data sets such as class imbalance and overlap often pose difficulties for classifier algorithms. A number of… (more)

Subjects/Keywords: machine learning

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APA (6th Edition):

Richardson, W. D. (2013). Evolutionary instance resampling for difficult data sets. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/richardson_william_d_201312_ms

Chicago Manual of Style (16th Edition):

Richardson, William Dale. “Evolutionary instance resampling for difficult data sets.” 2013. Masters Thesis, University of Georgia. Accessed March 21, 2019. http://purl.galileo.usg.edu/uga_etd/richardson_william_d_201312_ms.

MLA Handbook (7th Edition):

Richardson, William Dale. “Evolutionary instance resampling for difficult data sets.” 2013. Web. 21 Mar 2019.

Vancouver:

Richardson WD. Evolutionary instance resampling for difficult data sets. [Internet] [Masters thesis]. University of Georgia; 2013. [cited 2019 Mar 21]. Available from: http://purl.galileo.usg.edu/uga_etd/richardson_william_d_201312_ms.

Council of Science Editors:

Richardson WD. Evolutionary instance resampling for difficult data sets. [Masters Thesis]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/richardson_william_d_201312_ms


University of Georgia

25. Lyle, Arlo. Baseball prediction using ensemble learning.

Degree: MS, Artificial Intelligence, 2007, University of Georgia

 As the salaries of baseball players continue to skyrocket and with the ever-increasing popularity of fantasy baseball, the desire for more accurate predictions of players’… (more)

Subjects/Keywords: Machine Learning

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APA (6th Edition):

Lyle, A. (2007). Baseball prediction using ensemble learning. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/lyle_arlo_m_200705_ms

Chicago Manual of Style (16th Edition):

Lyle, Arlo. “Baseball prediction using ensemble learning.” 2007. Masters Thesis, University of Georgia. Accessed March 21, 2019. http://purl.galileo.usg.edu/uga_etd/lyle_arlo_m_200705_ms.

MLA Handbook (7th Edition):

Lyle, Arlo. “Baseball prediction using ensemble learning.” 2007. Web. 21 Mar 2019.

Vancouver:

Lyle A. Baseball prediction using ensemble learning. [Internet] [Masters thesis]. University of Georgia; 2007. [cited 2019 Mar 21]. Available from: http://purl.galileo.usg.edu/uga_etd/lyle_arlo_m_200705_ms.

Council of Science Editors:

Lyle A. Baseball prediction using ensemble learning. [Masters Thesis]. University of Georgia; 2007. Available from: http://purl.galileo.usg.edu/uga_etd/lyle_arlo_m_200705_ms

26. 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 21, 2019. 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. 21 Mar 2019.

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 2019 Mar 21]. 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

27. 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 (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 21, 2019. 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. 21 Mar 2019.

Vancouver:

Bacchelli A. Mining unstructured software data. [Internet] [Thesis]. Università della Svizzera italiana; 2013. [cited 2019 Mar 21]. 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


Penn State University

28. Gowda Aghalya Shyama Sundar, Deepika. Identifying Product Web Pages Using Support Vector Machines.

Degree: MS, Computer Science and Engineering, 2010, Penn State University

 Comparative online shopping tools allow users to compare similar products from different vendors. Despite the availability of a multitude of online retail web sites, there… (more)

Subjects/Keywords: Machine Learning

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APA (6th Edition):

Gowda Aghalya Shyama Sundar, D. (2010). Identifying Product Web Pages Using Support Vector Machines. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10299

Chicago Manual of Style (16th Edition):

Gowda Aghalya Shyama Sundar, Deepika. “Identifying Product Web Pages Using Support Vector Machines.” 2010. Masters Thesis, Penn State University. Accessed March 21, 2019. https://etda.libraries.psu.edu/catalog/10299.

MLA Handbook (7th Edition):

Gowda Aghalya Shyama Sundar, Deepika. “Identifying Product Web Pages Using Support Vector Machines.” 2010. Web. 21 Mar 2019.

Vancouver:

Gowda Aghalya Shyama Sundar D. Identifying Product Web Pages Using Support Vector Machines. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2019 Mar 21]. Available from: https://etda.libraries.psu.edu/catalog/10299.

Council of Science Editors:

Gowda Aghalya Shyama Sundar D. Identifying Product Web Pages Using Support Vector Machines. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10299


University of California – San Diego

29. 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 21, 2019. 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. 21 Mar 2019.

Vancouver:

Gallagher PW. Operator Theory for Analysis of Convex Optimization Methods in Machine Learning. [Internet] [Thesis]. University of California – San Diego; 2014. [cited 2019 Mar 21]. 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 Victoria

30. 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 (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 21, 2019. 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. 21 Mar 2019.

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 2019 Mar 21]. 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

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