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You searched for subject:(decision trees). Showing records 1 – 30 of 364 total matches.

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Univerzitet u Beogradu

1. Jovanović, Miloš, 1982-. Аутоматско генерисање алгоритама стабала одлучивања за класификацију.

Degree: Fakultet organizacionih nauka, 2016, Univerzitet u Beogradu

Организационе науке - Моделирање пословних система и пословно одлучивање / Organizational sciences - Business system and business decision making

Стабла одлучивања су врло распрострањен модел… (more)

Subjects/Keywords: decision trees; algorithm; components; metaheuristics

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APA (6th Edition):

Jovanović, Miloš, 1. (2016). Аутоматско генерисање алгоритама стабала одлучивања за класификацију. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:12050/bdef:Content/get

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):

Jovanović, Miloš, 1982-. “Аутоматско генерисање алгоритама стабала одлучивања за класификацију.” 2016. Thesis, Univerzitet u Beogradu. Accessed January 23, 2021. https://fedorabg.bg.ac.rs/fedora/get/o:12050/bdef:Content/get.

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

MLA Handbook (7th Edition):

Jovanović, Miloš, 1982-. “Аутоматско генерисање алгоритама стабала одлучивања за класификацију.” 2016. Web. 23 Jan 2021.

Vancouver:

Jovanović, Miloš 1. Аутоматско генерисање алгоритама стабала одлучивања за класификацију. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2021 Jan 23]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12050/bdef:Content/get.

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

Council of Science Editors:

Jovanović, Miloš 1. Аутоматско генерисање алгоритама стабала одлучивања за класификацију. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12050/bdef:Content/get

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


Central Connecticut State University

2. Tadigadapa, Sairam L. Y., 1969-. The Application of Decision Trees for Diagnosing Liver Disease.

Degree: Department of Mathematical Sciences, 2014, Central Connecticut State University

Liver disease is a major problem in India and many parts of the world. This thesis analyzed the performance of the C5.0, CHAID, QUEST, and… (more)

Subjects/Keywords: Decision trees.; Liver – Diseases – Diagnosis.

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APA (6th Edition):

Tadigadapa, Sairam L. Y., 1. (2014). The Application of Decision Trees for Diagnosing Liver Disease. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,1993

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):

Tadigadapa, Sairam L. Y., 1969-. “The Application of Decision Trees for Diagnosing Liver Disease.” 2014. Thesis, Central Connecticut State University. Accessed January 23, 2021. http://content.library.ccsu.edu/u?/ccsutheses,1993.

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

MLA Handbook (7th Edition):

Tadigadapa, Sairam L. Y., 1969-. “The Application of Decision Trees for Diagnosing Liver Disease.” 2014. Web. 23 Jan 2021.

Vancouver:

Tadigadapa, Sairam L. Y. 1. The Application of Decision Trees for Diagnosing Liver Disease. [Internet] [Thesis]. Central Connecticut State University; 2014. [cited 2021 Jan 23]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1993.

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

Council of Science Editors:

Tadigadapa, Sairam L. Y. 1. The Application of Decision Trees for Diagnosing Liver Disease. [Thesis]. Central Connecticut State University; 2014. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1993

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


Delft University of Technology

3. Bao, Shiwei (author). A Robust Solution to Train Shunting using Decision Trees.

Degree: 2018, Delft University of Technology

 This research tackles the Train Unit Shunting Problem (TUSP) in train maintenance service sites. Many researches focus on producing feasible solutions, but only a few… (more)

Subjects/Keywords: train shunting; decision trees; Robust

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APA (6th Edition):

Bao, S. (. (2018). A Robust Solution to Train Shunting using Decision Trees. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9acb3bd1-1ffb-4ebb-b886-f10c7291b101

Chicago Manual of Style (16th Edition):

Bao, Shiwei (author). “A Robust Solution to Train Shunting using Decision Trees.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:9acb3bd1-1ffb-4ebb-b886-f10c7291b101.

MLA Handbook (7th Edition):

Bao, Shiwei (author). “A Robust Solution to Train Shunting using Decision Trees.” 2018. Web. 23 Jan 2021.

Vancouver:

Bao S(. A Robust Solution to Train Shunting using Decision Trees. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:9acb3bd1-1ffb-4ebb-b886-f10c7291b101.

Council of Science Editors:

Bao S(. A Robust Solution to Train Shunting using Decision Trees. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:9acb3bd1-1ffb-4ebb-b886-f10c7291b101


University of Texas – Austin

4. Si, Si, Ph.D. Large-scale non-linear prediction with applications.

Degree: PhD, Computer science, 2016, University of Texas – Austin

 With an immense growth in data, there is a great need for training and testing machine learning models on very large data sets. Several standard… (more)

Subjects/Keywords: Kernel methods; Classification; Decision trees

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APA (6th Edition):

Si, Si, P. D. (2016). Large-scale non-linear prediction with applications. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/43583

Chicago Manual of Style (16th Edition):

Si, Si, Ph D. “Large-scale non-linear prediction with applications.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 23, 2021. http://hdl.handle.net/2152/43583.

MLA Handbook (7th Edition):

Si, Si, Ph D. “Large-scale non-linear prediction with applications.” 2016. Web. 23 Jan 2021.

Vancouver:

Si, Si PD. Large-scale non-linear prediction with applications. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2152/43583.

Council of Science Editors:

Si, Si PD. Large-scale non-linear prediction with applications. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/43583

5. Njoku, Obinna Chilezie. Decision Trees and Their Application for Classification and Regression Problems.

Degree: MSin Mathematics, Mathematics, 2019, Missouri State University

  Tree methods are some of the best and most commonly used methods in the field of statistical learning. They are widely used in classification… (more)

Subjects/Keywords: decision trees; classification trees; regression trees; bagging; random forest; boosting; Statistical Models

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

APA (6th Edition):

Njoku, O. C. (2019). Decision Trees and Their Application for Classification and Regression Problems. (Masters Thesis). Missouri State University. Retrieved from https://bearworks.missouristate.edu/theses/3406

Chicago Manual of Style (16th Edition):

Njoku, Obinna Chilezie. “Decision Trees and Their Application for Classification and Regression Problems.” 2019. Masters Thesis, Missouri State University. Accessed January 23, 2021. https://bearworks.missouristate.edu/theses/3406.

MLA Handbook (7th Edition):

Njoku, Obinna Chilezie. “Decision Trees and Their Application for Classification and Regression Problems.” 2019. Web. 23 Jan 2021.

Vancouver:

Njoku OC. Decision Trees and Their Application for Classification and Regression Problems. [Internet] [Masters thesis]. Missouri State University; 2019. [cited 2021 Jan 23]. Available from: https://bearworks.missouristate.edu/theses/3406.

Council of Science Editors:

Njoku OC. Decision Trees and Their Application for Classification and Regression Problems. [Masters Thesis]. Missouri State University; 2019. Available from: https://bearworks.missouristate.edu/theses/3406


Delft University of Technology

6. Vos, Daniël (author). Adversarially Robust Decision Trees Against User-Specified Threat Models.

Degree: 2020, Delft University of Technology

In the present day we use machine learning for sensitive tasks that require models to be both understandable and robust. Although traditional models such as… (more)

Subjects/Keywords: Adversarial Machine Learning; Decision Trees; Cyber Security

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

APA (6th Edition):

Vos, D. (. (2020). Adversarially Robust Decision Trees Against User-Specified Threat Models. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c9d9cdc6-4f98-4730-8fb6-43e6e3444002

Chicago Manual of Style (16th Edition):

Vos, Daniël (author). “Adversarially Robust Decision Trees Against User-Specified Threat Models.” 2020. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:c9d9cdc6-4f98-4730-8fb6-43e6e3444002.

MLA Handbook (7th Edition):

Vos, Daniël (author). “Adversarially Robust Decision Trees Against User-Specified Threat Models.” 2020. Web. 23 Jan 2021.

Vancouver:

Vos D(. Adversarially Robust Decision Trees Against User-Specified Threat Models. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:c9d9cdc6-4f98-4730-8fb6-43e6e3444002.

Council of Science Editors:

Vos D(. Adversarially Robust Decision Trees Against User-Specified Threat Models. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:c9d9cdc6-4f98-4730-8fb6-43e6e3444002


Delft University of Technology

7. Buijs, Cas (author). Improving the robustness of decision trees in security-sensitive setting.

Degree: 2020, Delft University of Technology

Machine learning is used for security purposes, to differ between the benign and the malicious. Where decision trees can lead to understandable and explainable classifications,… (more)

Subjects/Keywords: Adversarial Machine Learning; Decision Trees; Robust learning

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

APA (6th Edition):

Buijs, C. (. (2020). Improving the robustness of decision trees in security-sensitive setting. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7fa236fe-686a-423b-ad56-5ac81e07d129

Chicago Manual of Style (16th Edition):

Buijs, Cas (author). “Improving the robustness of decision trees in security-sensitive setting.” 2020. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:7fa236fe-686a-423b-ad56-5ac81e07d129.

MLA Handbook (7th Edition):

Buijs, Cas (author). “Improving the robustness of decision trees in security-sensitive setting.” 2020. Web. 23 Jan 2021.

Vancouver:

Buijs C(. Improving the robustness of decision trees in security-sensitive setting. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:7fa236fe-686a-423b-ad56-5ac81e07d129.

Council of Science Editors:

Buijs C(. Improving the robustness of decision trees in security-sensitive setting. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:7fa236fe-686a-423b-ad56-5ac81e07d129


Columbia University

8. Zhu, Huichen. Robust Statistical Approaches Dealing with High-Dimensional Observational Data.

Degree: 2019, Columbia University

 The theme of this dissertation is to develop robust statistical approaches for the high-dimensional observational data. The development of technology makes data sets more accessible… (more)

Subjects/Keywords: Biometry; Biometry – Data processing; Statistics; Decision trees

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APA (6th Edition):

Zhu, H. (2019). Robust Statistical Approaches Dealing with High-Dimensional Observational Data. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-2a44-2470

Chicago Manual of Style (16th Edition):

Zhu, Huichen. “Robust Statistical Approaches Dealing with High-Dimensional Observational Data.” 2019. Doctoral Dissertation, Columbia University. Accessed January 23, 2021. https://doi.org/10.7916/d8-2a44-2470.

MLA Handbook (7th Edition):

Zhu, Huichen. “Robust Statistical Approaches Dealing with High-Dimensional Observational Data.” 2019. Web. 23 Jan 2021.

Vancouver:

Zhu H. Robust Statistical Approaches Dealing with High-Dimensional Observational Data. [Internet] [Doctoral dissertation]. Columbia University; 2019. [cited 2021 Jan 23]. Available from: https://doi.org/10.7916/d8-2a44-2470.

Council of Science Editors:

Zhu H. Robust Statistical Approaches Dealing with High-Dimensional Observational Data. [Doctoral Dissertation]. Columbia University; 2019. Available from: https://doi.org/10.7916/d8-2a44-2470


Central Connecticut State University

9. Sambasivan, Rajiv, 1971-. Modeling of Flight Delays.

Degree: Department of Mathematical Sciences, 2012, Central Connecticut State University

This thesis develops models for flight delays by major airlines at domestic destinations. Federal regulations require airlines to meet specific revenue criteria regarding their on-time… (more)

Subjects/Keywords: Decision trees.; Flight delays – United States.

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APA (6th Edition):

Sambasivan, Rajiv, 1. (2012). Modeling of Flight Delays. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,1817

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):

Sambasivan, Rajiv, 1971-. “Modeling of Flight Delays.” 2012. Thesis, Central Connecticut State University. Accessed January 23, 2021. http://content.library.ccsu.edu/u?/ccsutheses,1817.

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

MLA Handbook (7th Edition):

Sambasivan, Rajiv, 1971-. “Modeling of Flight Delays.” 2012. Web. 23 Jan 2021.

Vancouver:

Sambasivan, Rajiv 1. Modeling of Flight Delays. [Internet] [Thesis]. Central Connecticut State University; 2012. [cited 2021 Jan 23]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1817.

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

Council of Science Editors:

Sambasivan, Rajiv 1. Modeling of Flight Delays. [Thesis]. Central Connecticut State University; 2012. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1817

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


Central Connecticut State University

10. Bitiukov, Alex. Implementation of Customer Lifetime Value model in the context of Financial Services.

Degree: Department of Mathematical Sciences, 2014, Central Connecticut State University

The challenge of justifying long-term investments using traditional business case evaluation methodologies became increasingly transparent due to increased awareness, shareholder activism, traditional and social media.… (more)

Subjects/Keywords: Financial services industry.; Markov processes.; Decision trees.

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APA (6th Edition):

Bitiukov, A. (2014). Implementation of Customer Lifetime Value model in the context of Financial Services. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,2047

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):

Bitiukov, Alex. “Implementation of Customer Lifetime Value model in the context of Financial Services.” 2014. Thesis, Central Connecticut State University. Accessed January 23, 2021. http://content.library.ccsu.edu/u?/ccsutheses,2047.

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

MLA Handbook (7th Edition):

Bitiukov, Alex. “Implementation of Customer Lifetime Value model in the context of Financial Services.” 2014. Web. 23 Jan 2021.

Vancouver:

Bitiukov A. Implementation of Customer Lifetime Value model in the context of Financial Services. [Internet] [Thesis]. Central Connecticut State University; 2014. [cited 2021 Jan 23]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2047.

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

Council of Science Editors:

Bitiukov A. Implementation of Customer Lifetime Value model in the context of Financial Services. [Thesis]. Central Connecticut State University; 2014. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2047

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


University of Notre Dame

11. Patrick J. Miller. Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.

Degree: Psychology, 2017, University of Notre Dame

  The problem of finding structure in big data sets is becoming increasingly relevant to psychologists as it becomes easier and cheaper to collect data… (more)

Subjects/Keywords: nonparametric regression; nonlinear; Boosted decision trees

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APA (6th Edition):

Miller, P. J. (2017). Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/qz20sq89x8q

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):

Miller, Patrick J.. “Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.” 2017. Thesis, University of Notre Dame. Accessed January 23, 2021. https://curate.nd.edu/show/qz20sq89x8q.

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

MLA Handbook (7th Edition):

Miller, Patrick J.. “Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.” 2017. Web. 23 Jan 2021.

Vancouver:

Miller PJ. Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>. [Internet] [Thesis]. University of Notre Dame; 2017. [cited 2021 Jan 23]. Available from: https://curate.nd.edu/show/qz20sq89x8q.

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

Council of Science Editors:

Miller PJ. Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>. [Thesis]. University of Notre Dame; 2017. Available from: https://curate.nd.edu/show/qz20sq89x8q

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


University of Waterloo

12. Li, Chengbo. Causal Sensitivity Analysis for Decision Trees.

Degree: 2015, University of Waterloo

 Ventilator assignments in the pediatric intensive care unit (PICU) are made by medical experts; however, for some patients the relationship between ventilator assignment and patient… (more)

Subjects/Keywords: Treatment Effect; Sensitivity Analysis; Decision Trees

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APA (6th Edition):

Li, C. (2015). Causal Sensitivity Analysis for Decision Trees. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9076

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):

Li, Chengbo. “Causal Sensitivity Analysis for Decision Trees.” 2015. Thesis, University of Waterloo. Accessed January 23, 2021. http://hdl.handle.net/10012/9076.

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

MLA Handbook (7th Edition):

Li, Chengbo. “Causal Sensitivity Analysis for Decision Trees.” 2015. Web. 23 Jan 2021.

Vancouver:

Li C. Causal Sensitivity Analysis for Decision Trees. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/10012/9076.

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

Council of Science Editors:

Li C. Causal Sensitivity Analysis for Decision Trees. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9076

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


University of Georgia

13. Cheng, Xiao. The rise of the Big Data.

Degree: 2014, University of Georgia

 Big Data has been the new trend in businesses. As technology advances, the ability to collect large amount of data and learn insights from them… (more)

Subjects/Keywords: Big Data; Machine Learning; Decision Trees

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APA (6th Edition):

Cheng, X. (2014). The rise of the Big Data. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/29730

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):

Cheng, Xiao. “The rise of the Big Data.” 2014. Thesis, University of Georgia. Accessed January 23, 2021. http://hdl.handle.net/10724/29730.

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

MLA Handbook (7th Edition):

Cheng, Xiao. “The rise of the Big Data.” 2014. Web. 23 Jan 2021.

Vancouver:

Cheng X. The rise of the Big Data. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/10724/29730.

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

Council of Science Editors:

Cheng X. The rise of the Big Data. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/29730

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

14. Asiri, Maha Mohammed. A transfer learning-based feature reduction method to improve classification accuracy.

Degree: 2017, NC Docks

 The need for efficient data use grows in machine learning algorithm for dataset with larger feature sets. Feature selection is the process of selecting minimum… (more)

Subjects/Keywords: Machine learning; Random graphs; Decision trees; Algorithms

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APA (6th Edition):

Asiri, M. M. (2017). A transfer learning-based feature reduction method to improve classification accuracy. (Thesis). NC Docks. Retrieved from http://libres.uncg.edu/ir/uncg/f/Asiri_uncg_0154M_12397.pdf

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):

Asiri, Maha Mohammed. “A transfer learning-based feature reduction method to improve classification accuracy.” 2017. Thesis, NC Docks. Accessed January 23, 2021. http://libres.uncg.edu/ir/uncg/f/Asiri_uncg_0154M_12397.pdf.

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

MLA Handbook (7th Edition):

Asiri, Maha Mohammed. “A transfer learning-based feature reduction method to improve classification accuracy.” 2017. Web. 23 Jan 2021.

Vancouver:

Asiri MM. A transfer learning-based feature reduction method to improve classification accuracy. [Internet] [Thesis]. NC Docks; 2017. [cited 2021 Jan 23]. Available from: http://libres.uncg.edu/ir/uncg/f/Asiri_uncg_0154M_12397.pdf.

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

Council of Science Editors:

Asiri MM. A transfer learning-based feature reduction method to improve classification accuracy. [Thesis]. NC Docks; 2017. Available from: http://libres.uncg.edu/ir/uncg/f/Asiri_uncg_0154M_12397.pdf

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


Columbia University

15. McNellis, Ryan Thomas. Training Decision Trees for Optimal Decision-Making.

Degree: 2020, Columbia University

 Many analytics problems in Operations Research and the Management Sciences can be framed as decision-making problems containing uncertain input parameters to be estimated from data.… (more)

Subjects/Keywords: Operations research; Statistics; Mathematics; Decision making; Decision trees

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

APA (6th Edition):

McNellis, R. T. (2020). Training Decision Trees for Optimal Decision-Making. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-7zzq-gx78

Chicago Manual of Style (16th Edition):

McNellis, Ryan Thomas. “Training Decision Trees for Optimal Decision-Making.” 2020. Doctoral Dissertation, Columbia University. Accessed January 23, 2021. https://doi.org/10.7916/d8-7zzq-gx78.

MLA Handbook (7th Edition):

McNellis, Ryan Thomas. “Training Decision Trees for Optimal Decision-Making.” 2020. Web. 23 Jan 2021.

Vancouver:

McNellis RT. Training Decision Trees for Optimal Decision-Making. [Internet] [Doctoral dissertation]. Columbia University; 2020. [cited 2021 Jan 23]. Available from: https://doi.org/10.7916/d8-7zzq-gx78.

Council of Science Editors:

McNellis RT. Training Decision Trees for Optimal Decision-Making. [Doctoral Dissertation]. Columbia University; 2020. Available from: https://doi.org/10.7916/d8-7zzq-gx78


KTH

16. Svantesson, David. Implementing Streaming Parallel Decision Trees on Graphic Processing Units.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

Decision trees have long been a prevalent area within machine learning. With streaming data environments as well as large datasets becoming increasingly common, researchers… (more)

Subjects/Keywords: decision trees; streaming; gpu; hpc; spdt; streaming parallel decision trees; machine learning; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Svantesson, D. (2018). Implementing Streaming Parallel Decision Trees on Graphic Processing Units. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230953

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):

Svantesson, David. “Implementing Streaming Parallel Decision Trees on Graphic Processing Units.” 2018. Thesis, KTH. Accessed January 23, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230953.

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

MLA Handbook (7th Edition):

Svantesson, David. “Implementing Streaming Parallel Decision Trees on Graphic Processing Units.” 2018. Web. 23 Jan 2021.

Vancouver:

Svantesson D. Implementing Streaming Parallel Decision Trees on Graphic Processing Units. [Internet] [Thesis]. KTH; 2018. [cited 2021 Jan 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230953.

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

Council of Science Editors:

Svantesson D. Implementing Streaming Parallel Decision Trees on Graphic Processing Units. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230953

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


University of Louisville

17. Alvanpour, Aneseh. Uncovering exceptional predictions using exploratory analysis of second stage machine learning.

Degree: MS, 2017, University of Louisville

  Nowadays, algorithmic systems for making decisions are widely used to facilitate decisions in a variety of fields such as medicine, banking, applying for universities… (more)

Subjects/Keywords: machine learning; interpretability; decision trees; classification; exceptional predictions; decision rules; Other Computer Engineering

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

APA (6th Edition):

Alvanpour, A. (2017). Uncovering exceptional predictions using exploratory analysis of second stage machine learning. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651

Chicago Manual of Style (16th Edition):

Alvanpour, Aneseh. “Uncovering exceptional predictions using exploratory analysis of second stage machine learning.” 2017. Masters Thesis, University of Louisville. Accessed January 23, 2021. 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651.

MLA Handbook (7th Edition):

Alvanpour, Aneseh. “Uncovering exceptional predictions using exploratory analysis of second stage machine learning.” 2017. Web. 23 Jan 2021.

Vancouver:

Alvanpour A. Uncovering exceptional predictions using exploratory analysis of second stage machine learning. [Internet] [Masters thesis]. University of Louisville; 2017. [cited 2021 Jan 23]. Available from: 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651.

Council of Science Editors:

Alvanpour A. Uncovering exceptional predictions using exploratory analysis of second stage machine learning. [Masters Thesis]. University of Louisville; 2017. Available from: 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651


Texas State University – San Marcos

18. Phillips, Clark Raymond. Employing an Efficient and Scalable Implementation of the Cost Sensitive Alternating Decision Tree algorithm to Efficiently Link Person Records.

Degree: MS, Computer Science, 2015, Texas State University – San Marcos

 When collecting person records for census, identifying individuals accurately is paramount. Over time, people change their phone numbers, their addresses, even their names. Without a… (more)

Subjects/Keywords: Decision trees; Machine learning; Alternating decision tree; Computer science – Mathematics; Combinatorial analysis

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

APA (6th Edition):

Phillips, C. R. (2015). Employing an Efficient and Scalable Implementation of the Cost Sensitive Alternating Decision Tree algorithm to Efficiently Link Person Records. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/5576

Chicago Manual of Style (16th Edition):

Phillips, Clark Raymond. “Employing an Efficient and Scalable Implementation of the Cost Sensitive Alternating Decision Tree algorithm to Efficiently Link Person Records.” 2015. Masters Thesis, Texas State University – San Marcos. Accessed January 23, 2021. https://digital.library.txstate.edu/handle/10877/5576.

MLA Handbook (7th Edition):

Phillips, Clark Raymond. “Employing an Efficient and Scalable Implementation of the Cost Sensitive Alternating Decision Tree algorithm to Efficiently Link Person Records.” 2015. Web. 23 Jan 2021.

Vancouver:

Phillips CR. Employing an Efficient and Scalable Implementation of the Cost Sensitive Alternating Decision Tree algorithm to Efficiently Link Person Records. [Internet] [Masters thesis]. Texas State University – San Marcos; 2015. [cited 2021 Jan 23]. Available from: https://digital.library.txstate.edu/handle/10877/5576.

Council of Science Editors:

Phillips CR. Employing an Efficient and Scalable Implementation of the Cost Sensitive Alternating Decision Tree algorithm to Efficiently Link Person Records. [Masters Thesis]. Texas State University – San Marcos; 2015. Available from: https://digital.library.txstate.edu/handle/10877/5576


University of Hong Kong

19. Tsang, Pui-kwan, Smith. Efficient decision tree building algorithms for uncertain data.

Degree: 2008, University of Hong Kong

Subjects/Keywords: Decision trees.; Data mining.; Algorithms.

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

APA (6th Edition):

Tsang, Pui-kwan, S. (2008). Efficient decision tree building algorithms for uncertain data. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/50806

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):

Tsang, Pui-kwan, Smith. “Efficient decision tree building algorithms for uncertain data.” 2008. Thesis, University of Hong Kong. Accessed January 23, 2021. http://hdl.handle.net/10722/50806.

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

MLA Handbook (7th Edition):

Tsang, Pui-kwan, Smith. “Efficient decision tree building algorithms for uncertain data.” 2008. Web. 23 Jan 2021.

Vancouver:

Tsang, Pui-kwan S. Efficient decision tree building algorithms for uncertain data. [Internet] [Thesis]. University of Hong Kong; 2008. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/10722/50806.

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

Council of Science Editors:

Tsang, Pui-kwan S. Efficient decision tree building algorithms for uncertain data. [Thesis]. University of Hong Kong; 2008. Available from: http://hdl.handle.net/10722/50806

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

20. Basgalupp, Márcio Porto. LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2010, University of São Paulo

Dentre as diversas tarefas em que os algoritmos evolutivos têm sido empregados, a indução de regras e de árvores de decisão tem se mostrado uma… (more)

Subjects/Keywords: Algoritmos genéticos; Árvores de decisão; Classificação; Classification; Decision trees; Genetic algoithms

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

APA (6th Edition):

Basgalupp, M. P. (2010). LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052010-165344/ ;

Chicago Manual of Style (16th Edition):

Basgalupp, Márcio Porto. “LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão.” 2010. Doctoral Dissertation, University of São Paulo. Accessed January 23, 2021. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052010-165344/ ;.

MLA Handbook (7th Edition):

Basgalupp, Márcio Porto. “LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão.” 2010. Web. 23 Jan 2021.

Vancouver:

Basgalupp MP. LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão. [Internet] [Doctoral dissertation]. University of São Paulo; 2010. [cited 2021 Jan 23]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052010-165344/ ;.

Council of Science Editors:

Basgalupp MP. LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão. [Doctoral Dissertation]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052010-165344/ ;


University of Alberta

21. Das Gupta, Ujjwal. Adaptive Representation for Policy Gradient.

Degree: MS, Department of Computing Science, 2015, University of Alberta

 Much of the focus on finding good representations in reinforcement learning has been on learning complex non-linear predictors of value. Methods like policy gradient, that… (more)

Subjects/Keywords: Representation Learning; Decision Trees; Policy Gradient; Reinforcement Learning

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

APA (6th Edition):

Das Gupta, U. (2015). Adaptive Representation for Policy Gradient. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/zk51vk289

Chicago Manual of Style (16th Edition):

Das Gupta, Ujjwal. “Adaptive Representation for Policy Gradient.” 2015. Masters Thesis, University of Alberta. Accessed January 23, 2021. https://era.library.ualberta.ca/files/zk51vk289.

MLA Handbook (7th Edition):

Das Gupta, Ujjwal. “Adaptive Representation for Policy Gradient.” 2015. Web. 23 Jan 2021.

Vancouver:

Das Gupta U. Adaptive Representation for Policy Gradient. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2021 Jan 23]. Available from: https://era.library.ualberta.ca/files/zk51vk289.

Council of Science Editors:

Das Gupta U. Adaptive Representation for Policy Gradient. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/zk51vk289

22. Silveira, Josimara de Ávila. Análise de sinais cerebrais utilizando árvores de decisão.

Degree: 2013, Universidade Federal do Rio Grande

Este trabalho propõe um estudo de sinais cerebrais aplicados em sistemas BCI (Brain-Computer Interface - Interfaces Cérebro Computador), através do uso de Árvores de Decisão… (more)

Subjects/Keywords: Sistemas BCI; Árvores de decisão; Neurociência; BCI systems; Decision trees; Neuroscience

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

APA (6th Edition):

Silveira, J. d. . (2013). Análise de sinais cerebrais utilizando árvores de decisão. (Masters Thesis). Universidade Federal do Rio Grande. Retrieved from http://repositorio.furg.br/handle/1/6409

Chicago Manual of Style (16th Edition):

Silveira, Josimara de Ávila. “Análise de sinais cerebrais utilizando árvores de decisão.” 2013. Masters Thesis, Universidade Federal do Rio Grande. Accessed January 23, 2021. http://repositorio.furg.br/handle/1/6409.

MLA Handbook (7th Edition):

Silveira, Josimara de Ávila. “Análise de sinais cerebrais utilizando árvores de decisão.” 2013. Web. 23 Jan 2021.

Vancouver:

Silveira Jd. Análise de sinais cerebrais utilizando árvores de decisão. [Internet] [Masters thesis]. Universidade Federal do Rio Grande; 2013. [cited 2021 Jan 23]. Available from: http://repositorio.furg.br/handle/1/6409.

Council of Science Editors:

Silveira Jd. Análise de sinais cerebrais utilizando árvores de decisão. [Masters Thesis]. Universidade Federal do Rio Grande; 2013. Available from: http://repositorio.furg.br/handle/1/6409


Universidade do Rio Grande do Sul

23. Signor, Bruna. Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional.

Degree: 2017, Universidade do Rio Grande do Sul

 Introdução: Retratamentos endodônticos apresentam maior complexidade técnica e piores prognósticos quando comparados ao tratamento endodôntico inicial. Nesse contexto, uma investigação mais detalhada em relação aos… (more)

Subjects/Keywords: Retreatment; Endodontia; Retratamento endodôntico; Endodontics; Decision trees; Data mining

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

APA (6th Edition):

Signor, B. (2017). Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/179746

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):

Signor, Bruna. “Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional.” 2017. Thesis, Universidade do Rio Grande do Sul. Accessed January 23, 2021. http://hdl.handle.net/10183/179746.

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

MLA Handbook (7th Edition):

Signor, Bruna. “Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional.” 2017. Web. 23 Jan 2021.

Vancouver:

Signor B. Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2017. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/10183/179746.

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

Council of Science Editors:

Signor B. Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional. [Thesis]. Universidade do Rio Grande do Sul; 2017. Available from: http://hdl.handle.net/10183/179746

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


King Abdullah University of Science and Technology

24. Busbait, Monther I. Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees.

Degree: 2014, King Abdullah University of Science and Technology

 We study the depth of decision trees for diagnosis of constant faults in read-once contact networks over finite bases. This includes diagnosis of 0-1 faults,… (more)

Subjects/Keywords: read-once contact networks; constant faults; decision trees

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

APA (6th Edition):

Busbait, M. I. (2014). Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/316551

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):

Busbait, Monther I. “Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees.” 2014. Thesis, King Abdullah University of Science and Technology. Accessed January 23, 2021. http://hdl.handle.net/10754/316551.

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

MLA Handbook (7th Edition):

Busbait, Monther I. “Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees.” 2014. Web. 23 Jan 2021.

Vancouver:

Busbait MI. Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2014. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/10754/316551.

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

Council of Science Editors:

Busbait MI. Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees. [Thesis]. King Abdullah University of Science and Technology; 2014. Available from: http://hdl.handle.net/10754/316551

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


University of Miami

25. Sendur, Zeynel. Text Document Categorization by Machine Learning.

Degree: MS, Electrical and Computer Engineering (Engineering), 2008, University of Miami

  Because of the explosion of digital and online text information, automatic organization of documents has become a very important research area. There are mainly… (more)

Subjects/Keywords: Decision Trees; Multi-label Classification

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

APA (6th Edition):

Sendur, Z. (2008). Text Document Categorization by Machine Learning. (Thesis). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_theses/209

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):

Sendur, Zeynel. “Text Document Categorization by Machine Learning.” 2008. Thesis, University of Miami. Accessed January 23, 2021. https://scholarlyrepository.miami.edu/oa_theses/209.

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

MLA Handbook (7th Edition):

Sendur, Zeynel. “Text Document Categorization by Machine Learning.” 2008. Web. 23 Jan 2021.

Vancouver:

Sendur Z. Text Document Categorization by Machine Learning. [Internet] [Thesis]. University of Miami; 2008. [cited 2021 Jan 23]. Available from: https://scholarlyrepository.miami.edu/oa_theses/209.

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

Council of Science Editors:

Sendur Z. Text Document Categorization by Machine Learning. [Thesis]. University of Miami; 2008. Available from: https://scholarlyrepository.miami.edu/oa_theses/209

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


Tampere University

26. Pojon, Murat. Using Machine Learning to Predict Student Performance .

Degree: 2017, Tampere University

 This thesis examines the application of machine learning algorithms to predict whether a student will be successful or not. The specific focus of the thesis… (more)

Subjects/Keywords: student performance; machine learning; regression; naïve Bayes classification; decision trees

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

APA (6th Edition):

Pojon, M. (2017). Using Machine Learning to Predict Student Performance . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/101646

Chicago Manual of Style (16th Edition):

Pojon, Murat. “Using Machine Learning to Predict Student Performance .” 2017. Masters Thesis, Tampere University. Accessed January 23, 2021. https://trepo.tuni.fi/handle/10024/101646.

MLA Handbook (7th Edition):

Pojon, Murat. “Using Machine Learning to Predict Student Performance .” 2017. Web. 23 Jan 2021.

Vancouver:

Pojon M. Using Machine Learning to Predict Student Performance . [Internet] [Masters thesis]. Tampere University; 2017. [cited 2021 Jan 23]. Available from: https://trepo.tuni.fi/handle/10024/101646.

Council of Science Editors:

Pojon M. Using Machine Learning to Predict Student Performance . [Masters Thesis]. Tampere University; 2017. Available from: https://trepo.tuni.fi/handle/10024/101646


University of Houston

27. Amalaman, Paul K. 1966-. New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications.

Degree: PhD, Computer Science, 2015, University of Houston

 Obtaining hierarchical organizations of knowledge is important in many domains. To create such hierarchies, improved techniques for subdividing entities hierarchically ac-cording to similarities and differences… (more)

Subjects/Keywords: Decision trees; Regression tree; Classification tree; Supervised taxonomy; Hierarchical clustering

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

APA (6th Edition):

Amalaman, P. K. 1. (2015). New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4888

Chicago Manual of Style (16th Edition):

Amalaman, Paul K 1966-. “New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications.” 2015. Doctoral Dissertation, University of Houston. Accessed January 23, 2021. http://hdl.handle.net/10657/4888.

MLA Handbook (7th Edition):

Amalaman, Paul K 1966-. “New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications.” 2015. Web. 23 Jan 2021.

Vancouver:

Amalaman PK1. New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/10657/4888.

Council of Science Editors:

Amalaman PK1. New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications. [Doctoral Dissertation]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/4888


Central Connecticut State University

28. Allard, Jeffrey Michael, 1973-. An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling.

Degree: Department of Mathematical Sciences, 2013, Central Connecticut State University

A business that conducts direct marketing activities (e.g. direct mail, outbound-telemarketing, email marketing) has two primary concerns regarding the management of its customer base  –… (more)

Subjects/Keywords: Direct marketing.; Database marketing.; Decision trees.; Data mining.

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APA (6th Edition):

Allard, Jeffrey Michael, 1. (2013). An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,1922

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):

Allard, Jeffrey Michael, 1973-. “An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling.” 2013. Thesis, Central Connecticut State University. Accessed January 23, 2021. http://content.library.ccsu.edu/u?/ccsutheses,1922.

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

MLA Handbook (7th Edition):

Allard, Jeffrey Michael, 1973-. “An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling.” 2013. Web. 23 Jan 2021.

Vancouver:

Allard, Jeffrey Michael 1. An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling. [Internet] [Thesis]. Central Connecticut State University; 2013. [cited 2021 Jan 23]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1922.

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

Council of Science Editors:

Allard, Jeffrey Michael 1. An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling. [Thesis]. Central Connecticut State University; 2013. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1922

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


Université Catholique de Louvain

29. Amouh, Teh. Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile.

Degree: 2011, Université Catholique de Louvain

 The amount of data in the world and in our lives seems ever-increasing and there is no end in sight. Such a situation is supported… (more)

Subjects/Keywords: Supervised classification; Clustering; Decision trees; Non-standard data; Sleep analysis

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

APA (6th Edition):

Amouh, T. (2011). Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/105005

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):

Amouh, Teh. “Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile.” 2011. Thesis, Université Catholique de Louvain. Accessed January 23, 2021. http://hdl.handle.net/2078.1/105005.

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

MLA Handbook (7th Edition):

Amouh, Teh. “Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile.” 2011. Web. 23 Jan 2021.

Vancouver:

Amouh T. Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile. [Internet] [Thesis]. Université Catholique de Louvain; 2011. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2078.1/105005.

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

Council of Science Editors:

Amouh T. Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile. [Thesis]. Université Catholique de Louvain; 2011. Available from: http://hdl.handle.net/2078.1/105005

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


Durham University

30. Summad, Emad. A Monte-Carlo approach to tool selection for sheet metal punching and nibbling.

Degree: PhD, 2001, Durham University

 Selecting the best set of tools to produce certain geometrical shapes/features in sheet metal punching is one of the problems that has a great effect… (more)

Subjects/Keywords: 670; Decision trees; Simulation; Tools

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

APA (6th Edition):

Summad, E. (2001). A Monte-Carlo approach to tool selection for sheet metal punching and nibbling. (Doctoral Dissertation). Durham University. Retrieved from http://etheses.dur.ac.uk/4137/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342613

Chicago Manual of Style (16th Edition):

Summad, Emad. “A Monte-Carlo approach to tool selection for sheet metal punching and nibbling.” 2001. Doctoral Dissertation, Durham University. Accessed January 23, 2021. http://etheses.dur.ac.uk/4137/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342613.

MLA Handbook (7th Edition):

Summad, Emad. “A Monte-Carlo approach to tool selection for sheet metal punching and nibbling.” 2001. Web. 23 Jan 2021.

Vancouver:

Summad E. A Monte-Carlo approach to tool selection for sheet metal punching and nibbling. [Internet] [Doctoral dissertation]. Durham University; 2001. [cited 2021 Jan 23]. Available from: http://etheses.dur.ac.uk/4137/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342613.

Council of Science Editors:

Summad E. A Monte-Carlo approach to tool selection for sheet metal punching and nibbling. [Doctoral Dissertation]. Durham University; 2001. Available from: http://etheses.dur.ac.uk/4137/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342613

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