Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Regression trees). Showing records 1 – 30 of 121 total matches.

[1] [2] [3] [4] [5]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

Country

▼ Search Limiters


UCLA

1. Skipper, Peter Tyrel. Exploratory Clusters of Student Technology Participation with Multivariate Regression Trees.

Degree: Statistics, 2014, UCLA

 Classroom practices in regards to technology use may have a significant impact (positive or negative) on the effectiveness of a curriculum. This paper looks at… (more)

Subjects/Keywords: Statistics; Multivariate Regression Trees

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Skipper, P. T. (2014). Exploratory Clusters of Student Technology Participation with Multivariate Regression Trees. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/7zf687wj

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):

Skipper, Peter Tyrel. “Exploratory Clusters of Student Technology Participation with Multivariate Regression Trees.” 2014. Thesis, UCLA. Accessed August 17, 2019. http://www.escholarship.org/uc/item/7zf687wj.

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

MLA Handbook (7th Edition):

Skipper, Peter Tyrel. “Exploratory Clusters of Student Technology Participation with Multivariate Regression Trees.” 2014. Web. 17 Aug 2019.

Vancouver:

Skipper PT. Exploratory Clusters of Student Technology Participation with Multivariate Regression Trees. [Internet] [Thesis]. UCLA; 2014. [cited 2019 Aug 17]. Available from: http://www.escholarship.org/uc/item/7zf687wj.

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

Council of Science Editors:

Skipper PT. Exploratory Clusters of Student Technology Participation with Multivariate Regression Trees. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/7zf687wj

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


University of Notre Dame

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

Degree: PhD, 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Miller, Patrick J.. “Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.” 2017. Doctoral Dissertation, University of Notre Dame. Accessed August 17, 2019. https://curate.nd.edu/show/qz20sq89x8q.

MLA Handbook (7th Edition):

Miller, Patrick J.. “Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.” 2017. Web. 17 Aug 2019.

Vancouver:

Miller PJ. Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2017. [cited 2019 Aug 17]. Available from: https://curate.nd.edu/show/qz20sq89x8q.

Council of Science Editors:

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


University of Toronto

3. Feng, Cheng Xiang. A Sampling-based Approach to GPGPU Performance Auto-tuning.

Degree: 2017, University of Toronto

We present a novel strategy for automatic performance tuning of GPU programs. The strategy combines heuristic search with regression trees, a machine learning model, to… (more)

Subjects/Keywords: Auto-tuning; GPGPU; Regression Trees; 0464

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Feng, C. X. (2017). A Sampling-based Approach to GPGPU Performance Auto-tuning. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79091

Chicago Manual of Style (16th Edition):

Feng, Cheng Xiang. “A Sampling-based Approach to GPGPU Performance Auto-tuning.” 2017. Masters Thesis, University of Toronto. Accessed August 17, 2019. http://hdl.handle.net/1807/79091.

MLA Handbook (7th Edition):

Feng, Cheng Xiang. “A Sampling-based Approach to GPGPU Performance Auto-tuning.” 2017. Web. 17 Aug 2019.

Vancouver:

Feng CX. A Sampling-based Approach to GPGPU Performance Auto-tuning. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/1807/79091.

Council of Science Editors:

Feng CX. A Sampling-based Approach to GPGPU Performance Auto-tuning. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79091


University of Utah

4. Conrad, Edward C. Using species distribution models to quantify climate change impacts on the rosy-finch superspecies: an alpine obligate.

Degree: MS, Geography, 2015, University of Utah

 Anthropogenic climate change is forcing plants and animals to respond by shifting their distributions poleward or upward in elevation. An organism's ability to track climate… (more)

Subjects/Keywords: boosted regression trees; calibrated AUC; climate change impacts; Leucosticte; niche modeling; random forest regression trees

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Conrad, E. C. (2015). Using species distribution models to quantify climate change impacts on the rosy-finch superspecies: an alpine obligate. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3919/rec/2867

Chicago Manual of Style (16th Edition):

Conrad, Edward C. “Using species distribution models to quantify climate change impacts on the rosy-finch superspecies: an alpine obligate.” 2015. Masters Thesis, University of Utah. Accessed August 17, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3919/rec/2867.

MLA Handbook (7th Edition):

Conrad, Edward C. “Using species distribution models to quantify climate change impacts on the rosy-finch superspecies: an alpine obligate.” 2015. Web. 17 Aug 2019.

Vancouver:

Conrad EC. Using species distribution models to quantify climate change impacts on the rosy-finch superspecies: an alpine obligate. [Internet] [Masters thesis]. University of Utah; 2015. [cited 2019 Aug 17]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3919/rec/2867.

Council of Science Editors:

Conrad EC. Using species distribution models to quantify climate change impacts on the rosy-finch superspecies: an alpine obligate. [Masters Thesis]. University of Utah; 2015. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3919/rec/2867


Dalhousie University

5. Zhang, Hongqun. Comparison of Different Statistical Prediction Methods for Fetal Growth Abnormalities.

Degree: MS, Department of Mathematics & Statistics - Statistics Division, 2014, Dalhousie University

 The decision tree method has become very popular because it can efficiently accommodate a large amount of data with a mixture of different types of… (more)

Subjects/Keywords: fetal growth abnormalities; logistic regression; regression and classification trees; random forests; boosting trees.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhang, H. (2014). Comparison of Different Statistical Prediction Methods for Fetal Growth Abnormalities. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/53985

Chicago Manual of Style (16th Edition):

Zhang, Hongqun. “Comparison of Different Statistical Prediction Methods for Fetal Growth Abnormalities.” 2014. Masters Thesis, Dalhousie University. Accessed August 17, 2019. http://hdl.handle.net/10222/53985.

MLA Handbook (7th Edition):

Zhang, Hongqun. “Comparison of Different Statistical Prediction Methods for Fetal Growth Abnormalities.” 2014. Web. 17 Aug 2019.

Vancouver:

Zhang H. Comparison of Different Statistical Prediction Methods for Fetal Growth Abnormalities. [Internet] [Masters thesis]. Dalhousie University; 2014. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/10222/53985.

Council of Science Editors:

Zhang H. Comparison of Different Statistical Prediction Methods for Fetal Growth Abnormalities. [Masters Thesis]. Dalhousie University; 2014. Available from: http://hdl.handle.net/10222/53985

6. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 August 17, 2019. 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. 17 Aug 2019.

Vancouver:

Njoku OC. Decision Trees and Their Application for Classification and Regression Problems. [Internet] [Masters thesis]. Missouri State University; 2019. [cited 2019 Aug 17]. 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


NSYSU

7. Wu, Wei-Wen. Ovarian tumor risk factors study in a south medical center in Taiwan.

Degree: Master, Applied Mathematics, 2012, NSYSU

 This study discusses main risk factors of ovarian tumor to determine a tumor type. Since symptoms of ovarian tumor are not obvious as the tumors… (more)

Subjects/Keywords: borderline; benign; classification and regression trees; malignant; logistic regression

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wu, W. (2012). Ovarian tumor risk factors study in a south medical center in Taiwan. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705112-113322

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):

Wu, Wei-Wen. “Ovarian tumor risk factors study in a south medical center in Taiwan.” 2012. Thesis, NSYSU. Accessed August 17, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705112-113322.

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

MLA Handbook (7th Edition):

Wu, Wei-Wen. “Ovarian tumor risk factors study in a south medical center in Taiwan.” 2012. Web. 17 Aug 2019.

Vancouver:

Wu W. Ovarian tumor risk factors study in a south medical center in Taiwan. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 Aug 17]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705112-113322.

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

Council of Science Editors:

Wu W. Ovarian tumor risk factors study in a south medical center in Taiwan. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705112-113322

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


McMaster University

8. Elmassad, Omnya. Predicting Customer Satisfaction from Dental Implants Perception Data.

Degree: MSc, 2013, McMaster University

In recent years, measuring customer satisfaction has become one of the key concerns of market research studies. One of the basic features of leading… (more)

Subjects/Keywords: Customer Satisfaction; Dental Implants; Classification Trees; Regression Trees; PLSR; Market Research; Applied Statistics; Applied Statistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Elmassad, O. (2013). Predicting Customer Satisfaction from Dental Implants Perception Data. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/12955

Chicago Manual of Style (16th Edition):

Elmassad, Omnya. “Predicting Customer Satisfaction from Dental Implants Perception Data.” 2013. Masters Thesis, McMaster University. Accessed August 17, 2019. http://hdl.handle.net/11375/12955.

MLA Handbook (7th Edition):

Elmassad, Omnya. “Predicting Customer Satisfaction from Dental Implants Perception Data.” 2013. Web. 17 Aug 2019.

Vancouver:

Elmassad O. Predicting Customer Satisfaction from Dental Implants Perception Data. [Internet] [Masters thesis]. McMaster University; 2013. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/11375/12955.

Council of Science Editors:

Elmassad O. Predicting Customer Satisfaction from Dental Implants Perception Data. [Masters Thesis]. McMaster University; 2013. Available from: http://hdl.handle.net/11375/12955

9. Sobral, Marcolino José Ribeiro. Regressão linear e árvores de regressão : previsão do desempenho na disciplina de matemática .

Degree: 2014, Universidade Aberta

 A presente dissertação tem como objetivo primordial prever o desempenho da disciplina de Matemática, analisando dados recolhidos – em escolas secundárias - através de um… (more)

Subjects/Keywords: Matemática; Estatística; Performance in mathematics; Multiple linear regression; Binary regression trees; Software R

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sobral, M. J. R. (2014). Regressão linear e árvores de regressão : previsão do desempenho na disciplina de matemática . (Masters Thesis). Universidade Aberta. Retrieved from http://hdl.handle.net/10400.2/3524

Chicago Manual of Style (16th Edition):

Sobral, Marcolino José Ribeiro. “Regressão linear e árvores de regressão : previsão do desempenho na disciplina de matemática .” 2014. Masters Thesis, Universidade Aberta. Accessed August 17, 2019. http://hdl.handle.net/10400.2/3524.

MLA Handbook (7th Edition):

Sobral, Marcolino José Ribeiro. “Regressão linear e árvores de regressão : previsão do desempenho na disciplina de matemática .” 2014. Web. 17 Aug 2019.

Vancouver:

Sobral MJR. Regressão linear e árvores de regressão : previsão do desempenho na disciplina de matemática . [Internet] [Masters thesis]. Universidade Aberta; 2014. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/10400.2/3524.

Council of Science Editors:

Sobral MJR. Regressão linear e árvores de regressão : previsão do desempenho na disciplina de matemática . [Masters Thesis]. Universidade Aberta; 2014. Available from: http://hdl.handle.net/10400.2/3524


Virginia Tech

10. Braff, Pamela Hope. Not All Biomass is Created Equal: An Assessment of Social and Biophysical Factors Constraining Wood Availability in Virginia.

Degree: MS, Forest Resources and Environmental Conservation, 2014, Virginia Tech

 Most estimates of wood supply do not reflect the true availability of wood resources. The availability of wood resources ultimately depends on collective wood harvesting… (more)

Subjects/Keywords: wood availability; forest inventory and analysis (FIA); classification and regression trees; random forest; logistic regression

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Braff, P. H. (2014). Not All Biomass is Created Equal: An Assessment of Social and Biophysical Factors Constraining Wood Availability in Virginia. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/63997

Chicago Manual of Style (16th Edition):

Braff, Pamela Hope. “Not All Biomass is Created Equal: An Assessment of Social and Biophysical Factors Constraining Wood Availability in Virginia.” 2014. Masters Thesis, Virginia Tech. Accessed August 17, 2019. http://hdl.handle.net/10919/63997.

MLA Handbook (7th Edition):

Braff, Pamela Hope. “Not All Biomass is Created Equal: An Assessment of Social and Biophysical Factors Constraining Wood Availability in Virginia.” 2014. Web. 17 Aug 2019.

Vancouver:

Braff PH. Not All Biomass is Created Equal: An Assessment of Social and Biophysical Factors Constraining Wood Availability in Virginia. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/10919/63997.

Council of Science Editors:

Braff PH. Not All Biomass is Created Equal: An Assessment of Social and Biophysical Factors Constraining Wood Availability in Virginia. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/63997


UCLA

11. Larriva, Matthew Rudolph. Semi-Greedy Construction of Oblique-Split Decision Trees.

Degree: Statistics, 2019, UCLA

 Classication and Regression Trees (CART) are a method of structured prediction widely used in machine learning. Favored for their robustness to non-linear relationships and interpretability… (more)

Subjects/Keywords: Statistics; CART; Classification and Regression Trees; Classification Tree; Non-greedy; Regression Tree; Semi-greedy

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Larriva, M. R. (2019). Semi-Greedy Construction of Oblique-Split Decision Trees. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/2w3950hh

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):

Larriva, Matthew Rudolph. “Semi-Greedy Construction of Oblique-Split Decision Trees.” 2019. Thesis, UCLA. Accessed August 17, 2019. http://www.escholarship.org/uc/item/2w3950hh.

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

MLA Handbook (7th Edition):

Larriva, Matthew Rudolph. “Semi-Greedy Construction of Oblique-Split Decision Trees.” 2019. Web. 17 Aug 2019.

Vancouver:

Larriva MR. Semi-Greedy Construction of Oblique-Split Decision Trees. [Internet] [Thesis]. UCLA; 2019. [cited 2019 Aug 17]. Available from: http://www.escholarship.org/uc/item/2w3950hh.

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

Council of Science Editors:

Larriva MR. Semi-Greedy Construction of Oblique-Split Decision Trees. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/2w3950hh

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


University of South Carolina

12. Kindo, Bereket P. Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression.

Degree: PhD, Statistics, 2016, University of South Carolina

  This dissertation proposes multinomial probit Bayesian additive regression trees (MPBART), ordered multiclass Bayesian additive classification trees (O-MBACT) and Bayesian quantile additive regression trees (BayesQArt)… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Bayesian Ensemble; Regression Trees; Multinomial Probit; Quantile Regression

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kindo, B. P. (2016). Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3916

Chicago Manual of Style (16th Edition):

Kindo, Bereket P. “Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression.” 2016. Doctoral Dissertation, University of South Carolina. Accessed August 17, 2019. https://scholarcommons.sc.edu/etd/3916.

MLA Handbook (7th Edition):

Kindo, Bereket P. “Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression.” 2016. Web. 17 Aug 2019.

Vancouver:

Kindo BP. Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression. [Internet] [Doctoral dissertation]. University of South Carolina; 2016. [cited 2019 Aug 17]. Available from: https://scholarcommons.sc.edu/etd/3916.

Council of Science Editors:

Kindo BP. Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression. [Doctoral Dissertation]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3916

13. Pattouras, Michalis. Analysis of electrical tree growth through dielectric interfaces.

Degree: PhD, 2016, University of Manchester

 Electrical trees have long been the interest of the electrical insulation community due to their role in power systems equipment failure at locations where high… (more)

Subjects/Keywords: 621.319; Electrical Trees; Dielectric; Insulation; Regression Analysis; Epoxy Resin

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Pattouras, M. (2016). Analysis of electrical tree growth through dielectric interfaces. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/analysis-of-electrical-tree-growth-through-dielectric-interfaces(88cdce92-85c6-4d86-b061-9740fbae7fb9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.679989

Chicago Manual of Style (16th Edition):

Pattouras, Michalis. “Analysis of electrical tree growth through dielectric interfaces.” 2016. Doctoral Dissertation, University of Manchester. Accessed August 17, 2019. https://www.research.manchester.ac.uk/portal/en/theses/analysis-of-electrical-tree-growth-through-dielectric-interfaces(88cdce92-85c6-4d86-b061-9740fbae7fb9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.679989.

MLA Handbook (7th Edition):

Pattouras, Michalis. “Analysis of electrical tree growth through dielectric interfaces.” 2016. Web. 17 Aug 2019.

Vancouver:

Pattouras M. Analysis of electrical tree growth through dielectric interfaces. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2019 Aug 17]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/analysis-of-electrical-tree-growth-through-dielectric-interfaces(88cdce92-85c6-4d86-b061-9740fbae7fb9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.679989.

Council of Science Editors:

Pattouras M. Analysis of electrical tree growth through dielectric interfaces. [Doctoral Dissertation]. University of Manchester; 2016. Available from: https://www.research.manchester.ac.uk/portal/en/theses/analysis-of-electrical-tree-growth-through-dielectric-interfaces(88cdce92-85c6-4d86-b061-9740fbae7fb9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.679989


Oregon State University

14. Wang, Lijuan. An application of regression tree methodology in freeway travel time estimation using speed as a proxy.

Degree: MS, Industrial Engineering, 2008, Oregon State University

 Accurate freeway travel time estimation is of increasing importance for the travelers’ information and route guidance system. A non-parametric statistical methodology known as regression trees(more)

Subjects/Keywords: Regression trees; Travel time (Traffic engineering)  – Oregon  – Data processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, L. (2008). An application of regression tree methodology in freeway travel time estimation using speed as a proxy. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/9471

Chicago Manual of Style (16th Edition):

Wang, Lijuan. “An application of regression tree methodology in freeway travel time estimation using speed as a proxy.” 2008. Masters Thesis, Oregon State University. Accessed August 17, 2019. http://hdl.handle.net/1957/9471.

MLA Handbook (7th Edition):

Wang, Lijuan. “An application of regression tree methodology in freeway travel time estimation using speed as a proxy.” 2008. Web. 17 Aug 2019.

Vancouver:

Wang L. An application of regression tree methodology in freeway travel time estimation using speed as a proxy. [Internet] [Masters thesis]. Oregon State University; 2008. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/1957/9471.

Council of Science Editors:

Wang L. An application of regression tree methodology in freeway travel time estimation using speed as a proxy. [Masters Thesis]. Oregon State University; 2008. Available from: http://hdl.handle.net/1957/9471


Louisiana State University

15. Wang, Xuan. Statistical classification problems in assessment of teachers.

Degree: MS, Applied Mathematics, 2013, Louisiana State University

 Classification and regression trees form an important and indispensable tool in data analysis and classification problems. Class trees are described in detail with examples. The… (more)

Subjects/Keywords: AdaBoost; bagging; teaching efficiency; Rattle; classification and regression trees

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, X. (2013). Statistical classification problems in assessment of teachers. (Masters Thesis). Louisiana State University. Retrieved from etd-07052013-120311 ; https://digitalcommons.lsu.edu/gradschool_theses/3203

Chicago Manual of Style (16th Edition):

Wang, Xuan. “Statistical classification problems in assessment of teachers.” 2013. Masters Thesis, Louisiana State University. Accessed August 17, 2019. etd-07052013-120311 ; https://digitalcommons.lsu.edu/gradschool_theses/3203.

MLA Handbook (7th Edition):

Wang, Xuan. “Statistical classification problems in assessment of teachers.” 2013. Web. 17 Aug 2019.

Vancouver:

Wang X. Statistical classification problems in assessment of teachers. [Internet] [Masters thesis]. Louisiana State University; 2013. [cited 2019 Aug 17]. Available from: etd-07052013-120311 ; https://digitalcommons.lsu.edu/gradschool_theses/3203.

Council of Science Editors:

Wang X. Statistical classification problems in assessment of teachers. [Masters Thesis]. Louisiana State University; 2013. Available from: etd-07052013-120311 ; https://digitalcommons.lsu.edu/gradschool_theses/3203

16. Pattouras, Michalis. Analysis of Electrical Tree Growth Through Dielectric Interfaces.

Degree: 2016, University of Manchester

 Electrical trees have long been the interest of the electrical insulation community due to their role in power systems equipment failure at locations where high… (more)

Subjects/Keywords: Electrical Trees; Dielectric; Insulation; Regression Analysis; Epoxy Resin

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Pattouras, M. (2016). Analysis of Electrical Tree Growth Through Dielectric Interfaces. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:294081

Chicago Manual of Style (16th Edition):

Pattouras, Michalis. “Analysis of Electrical Tree Growth Through Dielectric Interfaces.” 2016. Doctoral Dissertation, University of Manchester. Accessed August 17, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:294081.

MLA Handbook (7th Edition):

Pattouras, Michalis. “Analysis of Electrical Tree Growth Through Dielectric Interfaces.” 2016. Web. 17 Aug 2019.

Vancouver:

Pattouras M. Analysis of Electrical Tree Growth Through Dielectric Interfaces. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2019 Aug 17]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:294081.

Council of Science Editors:

Pattouras M. Analysis of Electrical Tree Growth Through Dielectric Interfaces. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:294081


Massey University

17. Brown, Logan Arthur. Habitat determinants and predatory interactions of the endemic freshwater crayfish (koura, Paranephrops planifrons) in the lower North Island, New Zealand.

Degree: Masters of Science, Ecology, 2009, Massey University

 A study in the Lower North Island located Parenephrops planifrons (koura) at 73 sites out of 104 sites visited (appendix 1). There was a significant… (more)

Subjects/Keywords: Habitat variables; Regression trees

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Brown, L. A. (2009). Habitat determinants and predatory interactions of the endemic freshwater crayfish (koura, Paranephrops planifrons) in the lower North Island, New Zealand. (Masters Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/1168

Chicago Manual of Style (16th Edition):

Brown, Logan Arthur. “Habitat determinants and predatory interactions of the endemic freshwater crayfish (koura, Paranephrops planifrons) in the lower North Island, New Zealand.” 2009. Masters Thesis, Massey University. Accessed August 17, 2019. http://hdl.handle.net/10179/1168.

MLA Handbook (7th Edition):

Brown, Logan Arthur. “Habitat determinants and predatory interactions of the endemic freshwater crayfish (koura, Paranephrops planifrons) in the lower North Island, New Zealand.” 2009. Web. 17 Aug 2019.

Vancouver:

Brown LA. Habitat determinants and predatory interactions of the endemic freshwater crayfish (koura, Paranephrops planifrons) in the lower North Island, New Zealand. [Internet] [Masters thesis]. Massey University; 2009. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/10179/1168.

Council of Science Editors:

Brown LA. Habitat determinants and predatory interactions of the endemic freshwater crayfish (koura, Paranephrops planifrons) in the lower North Island, New Zealand. [Masters Thesis]. Massey University; 2009. Available from: http://hdl.handle.net/10179/1168


George Mason University

18. Kelly-Winstead, Deanna. New Directions in Education Research: Using Data Mining Techniques to Explore Predictors of Grade Retention .

Degree: 2010, George Mason University

 The purpose of this study was to use classification trees and logistic regression to identify subgroups of students more likely to be retained. The National… (more)

Subjects/Keywords: classification trees; grade retention; logistic regression; held back; risk factors

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kelly-Winstead, D. (2010). New Directions in Education Research: Using Data Mining Techniques to Explore Predictors of Grade Retention . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/5818

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):

Kelly-Winstead, Deanna. “New Directions in Education Research: Using Data Mining Techniques to Explore Predictors of Grade Retention .” 2010. Thesis, George Mason University. Accessed August 17, 2019. http://hdl.handle.net/1920/5818.

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

MLA Handbook (7th Edition):

Kelly-Winstead, Deanna. “New Directions in Education Research: Using Data Mining Techniques to Explore Predictors of Grade Retention .” 2010. Web. 17 Aug 2019.

Vancouver:

Kelly-Winstead D. New Directions in Education Research: Using Data Mining Techniques to Explore Predictors of Grade Retention . [Internet] [Thesis]. George Mason University; 2010. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/1920/5818.

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

Council of Science Editors:

Kelly-Winstead D. New Directions in Education Research: Using Data Mining Techniques to Explore Predictors of Grade Retention . [Thesis]. George Mason University; 2010. Available from: http://hdl.handle.net/1920/5818

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


Tampere University

19. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 August 17, 2019. https://trepo.tuni.fi/handle/10024/101646.

MLA Handbook (7th Edition):

Pojon, Murat. “Using Machine Learning to Predict Student Performance .” 2017. Web. 17 Aug 2019.

Vancouver:

Pojon M. Using Machine Learning to Predict Student Performance . [Internet] [Masters thesis]. Tampere University; 2017. [cited 2019 Aug 17]. 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 Pennsylvania

20. Goldstein, Alex Lauf. Topics in Tree-Based Methods.

Degree: 2014, University of Pennsylvania

 This work introduces methods and associated software for enhancing the interpretability of fitted models, with emphasis on classification and regression trees. We begin in Chapter… (more)

Subjects/Keywords: Classification and Regression Trees; Decision Trees; Exploratory Data Analysis; Machine Learning; Model Visualization; Statistics and Probability

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Goldstein, A. L. (2014). Topics in Tree-Based Methods. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/1288

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):

Goldstein, Alex Lauf. “Topics in Tree-Based Methods.” 2014. Thesis, University of Pennsylvania. Accessed August 17, 2019. https://repository.upenn.edu/edissertations/1288.

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

MLA Handbook (7th Edition):

Goldstein, Alex Lauf. “Topics in Tree-Based Methods.” 2014. Web. 17 Aug 2019.

Vancouver:

Goldstein AL. Topics in Tree-Based Methods. [Internet] [Thesis]. University of Pennsylvania; 2014. [cited 2019 Aug 17]. Available from: https://repository.upenn.edu/edissertations/1288.

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

Council of Science Editors:

Goldstein AL. Topics in Tree-Based Methods. [Thesis]. University of Pennsylvania; 2014. Available from: https://repository.upenn.edu/edissertations/1288

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

21. Lee, Andrea M. Prediction of High School Graduation with Decision Trees.

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

  While working as an educator for the past fourteen years, we are always looking at data and determining ways to help our students. Graduation… (more)

Subjects/Keywords: pattern recognition; supervised learning; decision trees; classification trees; nodes; target variable; pruning; graduation rate; proficiency; logistic regression; Statistical Theory

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lee, A. M. (2019). Prediction of High School Graduation with Decision Trees. (Masters Thesis). Missouri State University. Retrieved from https://bearworks.missouristate.edu/theses/3419

Chicago Manual of Style (16th Edition):

Lee, Andrea M. “Prediction of High School Graduation with Decision Trees.” 2019. Masters Thesis, Missouri State University. Accessed August 17, 2019. https://bearworks.missouristate.edu/theses/3419.

MLA Handbook (7th Edition):

Lee, Andrea M. “Prediction of High School Graduation with Decision Trees.” 2019. Web. 17 Aug 2019.

Vancouver:

Lee AM. Prediction of High School Graduation with Decision Trees. [Internet] [Masters thesis]. Missouri State University; 2019. [cited 2019 Aug 17]. Available from: https://bearworks.missouristate.edu/theses/3419.

Council of Science Editors:

Lee AM. Prediction of High School Graduation with Decision Trees. [Masters Thesis]. Missouri State University; 2019. Available from: https://bearworks.missouristate.edu/theses/3419


University of Tennessee – Knoxville

22. Hartsell, Andrew J. Investigating trends and processes that impact tree species diversity of southern forests at the landscape level.

Degree: 2017, University of Tennessee – Knoxville

 Global biodiversity is currently being threatened by multiple anthropogenic sources. The increase in genetically modified, artificially regenerated forests has raised concerns that this management scheme… (more)

Subjects/Keywords: species diversity; spatial lag model; spatial error model; geographically weighted regression; regression trees; forest inventory data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hartsell, A. J. (2017). Investigating trends and processes that impact tree species diversity of southern forests at the landscape level. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/4818

Chicago Manual of Style (16th Edition):

Hartsell, Andrew J. “Investigating trends and processes that impact tree species diversity of southern forests at the landscape level.” 2017. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed August 17, 2019. https://trace.tennessee.edu/utk_graddiss/4818.

MLA Handbook (7th Edition):

Hartsell, Andrew J. “Investigating trends and processes that impact tree species diversity of southern forests at the landscape level.” 2017. Web. 17 Aug 2019.

Vancouver:

Hartsell AJ. Investigating trends and processes that impact tree species diversity of southern forests at the landscape level. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2017. [cited 2019 Aug 17]. Available from: https://trace.tennessee.edu/utk_graddiss/4818.

Council of Science Editors:

Hartsell AJ. Investigating trends and processes that impact tree species diversity of southern forests at the landscape level. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2017. Available from: https://trace.tennessee.edu/utk_graddiss/4818

23. Polat, Cahit. Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees under Controlled Conditions.

Degree: PhD, Quantitative Research Methods, 2018, U of Denver

  Logistic Regression (LR), Linear Discriminant Analysis (LDA), and Classification and Regression Trees (CART) are common classification techniques for prediction of group membership. Since these… (more)

Subjects/Keywords: Classification; Classification and regression trees; Group membership; Linear discriminant analysis; Logistic regression; Simulation; Social and Behavioral Sciences; Social Statistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Polat, C. (2018). Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees under Controlled Conditions. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1503

Chicago Manual of Style (16th Edition):

Polat, Cahit. “Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees under Controlled Conditions.” 2018. Doctoral Dissertation, U of Denver. Accessed August 17, 2019. https://digitalcommons.du.edu/etd/1503.

MLA Handbook (7th Edition):

Polat, Cahit. “Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees under Controlled Conditions.” 2018. Web. 17 Aug 2019.

Vancouver:

Polat C. Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees under Controlled Conditions. [Internet] [Doctoral dissertation]. U of Denver; 2018. [cited 2019 Aug 17]. Available from: https://digitalcommons.du.edu/etd/1503.

Council of Science Editors:

Polat C. Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees under Controlled Conditions. [Doctoral Dissertation]. U of Denver; 2018. Available from: https://digitalcommons.du.edu/etd/1503


Queensland University of Technology

24. Cook, Amy W. Predictive models to support quoting of fixed fee consulting projects.

Degree: 2017, Queensland University of Technology

 This thesis tackled a problem faced by consulting companies in the construction industry, where a significant proportion of projects result in losses. This occurs despite… (more)

Subjects/Keywords: Cost Estimation; Consulting; Effort Estimation; Machine Learning; Statistics; Profitability; Prediction; Fixed Price; Regression; Decision Trees

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cook, A. W. (2017). Predictive models to support quoting of fixed fee consulting projects. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/104557/

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):

Cook, Amy W. “Predictive models to support quoting of fixed fee consulting projects.” 2017. Thesis, Queensland University of Technology. Accessed August 17, 2019. https://eprints.qut.edu.au/104557/.

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

MLA Handbook (7th Edition):

Cook, Amy W. “Predictive models to support quoting of fixed fee consulting projects.” 2017. Web. 17 Aug 2019.

Vancouver:

Cook AW. Predictive models to support quoting of fixed fee consulting projects. [Internet] [Thesis]. Queensland University of Technology; 2017. [cited 2019 Aug 17]. Available from: https://eprints.qut.edu.au/104557/.

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

Council of Science Editors:

Cook AW. Predictive models to support quoting of fixed fee consulting projects. [Thesis]. Queensland University of Technology; 2017. Available from: https://eprints.qut.edu.au/104557/

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


University of Hawaii – Manoa

25. Franklin, Erik Charles. Spatially-explicit predictive modeling of coral species distributions in the Hawaiian islands.

Degree: 2016, University of Hawaii – Manoa

Ph.D. University of Hawaii at Manoa 2012.

Coral reefs are an ecosystem in transition. Scleractinian corals are the foundation species of tropical and subtropical reef… (more)

Subjects/Keywords: coral; boosted regression trees; ensemble model approach; Hawaii; marine protected areas; species distribution model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Franklin, E. C. (2016). Spatially-explicit predictive modeling of coral species distributions in the Hawaiian islands. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/100890

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):

Franklin, Erik Charles. “Spatially-explicit predictive modeling of coral species distributions in the Hawaiian islands.” 2016. Thesis, University of Hawaii – Manoa. Accessed August 17, 2019. http://hdl.handle.net/10125/100890.

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

MLA Handbook (7th Edition):

Franklin, Erik Charles. “Spatially-explicit predictive modeling of coral species distributions in the Hawaiian islands.” 2016. Web. 17 Aug 2019.

Vancouver:

Franklin EC. Spatially-explicit predictive modeling of coral species distributions in the Hawaiian islands. [Internet] [Thesis]. University of Hawaii – Manoa; 2016. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/10125/100890.

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

Council of Science Editors:

Franklin EC. Spatially-explicit predictive modeling of coral species distributions in the Hawaiian islands. [Thesis]. University of Hawaii – Manoa; 2016. Available from: http://hdl.handle.net/10125/100890

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


Ohio University

26. Roth, Sadie E. A Model to Predict Ohio University Student Attrition from Admissions and Involvement Data.

Degree: MS, Industrial and Systems Engineering (Engineering and Technology), 2008, Ohio University

 First-year student retention rates have recently become a focus at Ohio University. Dropping retention rates demonstrate the need for an objective way to identify students… (more)

Subjects/Keywords: Higher Education; Industrial Engineering; Statistical Modeling; Linear Regression; Alternating Decision Trees; College Student Retention

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Roth, S. E. (2008). A Model to Predict Ohio University Student Attrition from Admissions and Involvement Data. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1213109228

Chicago Manual of Style (16th Edition):

Roth, Sadie E. “A Model to Predict Ohio University Student Attrition from Admissions and Involvement Data.” 2008. Masters Thesis, Ohio University. Accessed August 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1213109228.

MLA Handbook (7th Edition):

Roth, Sadie E. “A Model to Predict Ohio University Student Attrition from Admissions and Involvement Data.” 2008. Web. 17 Aug 2019.

Vancouver:

Roth SE. A Model to Predict Ohio University Student Attrition from Admissions and Involvement Data. [Internet] [Masters thesis]. Ohio University; 2008. [cited 2019 Aug 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1213109228.

Council of Science Editors:

Roth SE. A Model to Predict Ohio University Student Attrition from Admissions and Involvement Data. [Masters Thesis]. Ohio University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1213109228


Ohio University

27. Hari, Vijaya. Empirical Investigation of CART and Decision Tree Extraction from Neural Networks.

Degree: MS, Industrial and Systems Engineering (Engineering and Technology), 2009, Ohio University

 Accuracy is a critical factor in predictive modeling. A predictive model such as a decision tree must be accurate to draw conclusions about a prediction.… (more)

Subjects/Keywords: Industrial Engineering; Classification and Regression Trees; TREPAN; Enhanced CART; Decision Tree Algorithm

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hari, V. (2009). Empirical Investigation of CART and Decision Tree Extraction from Neural Networks. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1235676338

Chicago Manual of Style (16th Edition):

Hari, Vijaya. “Empirical Investigation of CART and Decision Tree Extraction from Neural Networks.” 2009. Masters Thesis, Ohio University. Accessed August 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1235676338.

MLA Handbook (7th Edition):

Hari, Vijaya. “Empirical Investigation of CART and Decision Tree Extraction from Neural Networks.” 2009. Web. 17 Aug 2019.

Vancouver:

Hari V. Empirical Investigation of CART and Decision Tree Extraction from Neural Networks. [Internet] [Masters thesis]. Ohio University; 2009. [cited 2019 Aug 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1235676338.

Council of Science Editors:

Hari V. Empirical Investigation of CART and Decision Tree Extraction from Neural Networks. [Masters Thesis]. Ohio University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1235676338

28. Morais, Ana Isabel Pereira Santos Figueiredo. Data mining no contra-terrorismo: uma abordagem para a compreensão dos factores determinantes do terrorismo.

Degree: 2012, RCAAP

Mestrado em Gestão de Sistemas de Informação

O trabalho apresentado procurou constituir uma abordagem ao estudo do terrorismo no sentido de estabelecer mais um passo… (more)

Subjects/Keywords: Determinantes do terrorismo; Data mining; Árvores de regressão; Determinants of terrorism; Regression trees

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Morais, A. I. P. S. F. (2012). Data mining no contra-terrorismo: uma abordagem para a compreensão dos factores determinantes do terrorismo. (Thesis). RCAAP. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/5989

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):

Morais, Ana Isabel Pereira Santos Figueiredo. “Data mining no contra-terrorismo: uma abordagem para a compreensão dos factores determinantes do terrorismo.” 2012. Thesis, RCAAP. Accessed August 17, 2019. https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/5989.

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

MLA Handbook (7th Edition):

Morais, Ana Isabel Pereira Santos Figueiredo. “Data mining no contra-terrorismo: uma abordagem para a compreensão dos factores determinantes do terrorismo.” 2012. Web. 17 Aug 2019.

Vancouver:

Morais AIPSF. Data mining no contra-terrorismo: uma abordagem para a compreensão dos factores determinantes do terrorismo. [Internet] [Thesis]. RCAAP; 2012. [cited 2019 Aug 17]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/5989.

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

Council of Science Editors:

Morais AIPSF. Data mining no contra-terrorismo: uma abordagem para a compreensão dos factores determinantes do terrorismo. [Thesis]. RCAAP; 2012. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/5989

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


University of Missouri – Columbia

29. Serna, Erica. Quantifying error in vegetation mapping.

Degree: 2011, University of Missouri – Columbia

 Understanding the current distribution and structure of forest vegetation is important for designing forest management plans and prioritizing restoration at landscape scales. This project provides… (more)

Subjects/Keywords: random forest; Vegetation mapping; Forest management; Forest restoration; Regression analysis; Trees (Graph theory)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Serna, E. (2011). Quantifying error in vegetation mapping. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/11508

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):

Serna, Erica. “Quantifying error in vegetation mapping.” 2011. Thesis, University of Missouri – Columbia. Accessed August 17, 2019. http://hdl.handle.net/10355/11508.

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

MLA Handbook (7th Edition):

Serna, Erica. “Quantifying error in vegetation mapping.” 2011. Web. 17 Aug 2019.

Vancouver:

Serna E. Quantifying error in vegetation mapping. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/10355/11508.

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

Council of Science Editors:

Serna E. Quantifying error in vegetation mapping. [Thesis]. University of Missouri – Columbia; 2011. Available from: http://hdl.handle.net/10355/11508

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


University of Pennsylvania

30. Zeldow, Bret Michael. Bayesian Nonparametric Methods For Causal Inference And Prediction.

Degree: 2017, University of Pennsylvania

 In this thesis we present novel approaches to regression and causal inference using popular Bayesian nonparametric methods. Bayesian Additive Regression Trees (BART) is a Bayesian… (more)

Subjects/Keywords: Bayesian Additive Regression Trees; Bayesian nonparametrics; Causal Inference; Dirichlet Process; Prediction; Biostatistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zeldow, B. M. (2017). Bayesian Nonparametric Methods For Causal Inference And Prediction. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2993

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):

Zeldow, Bret Michael. “Bayesian Nonparametric Methods For Causal Inference And Prediction.” 2017. Thesis, University of Pennsylvania. Accessed August 17, 2019. https://repository.upenn.edu/edissertations/2993.

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

MLA Handbook (7th Edition):

Zeldow, Bret Michael. “Bayesian Nonparametric Methods For Causal Inference And Prediction.” 2017. Web. 17 Aug 2019.

Vancouver:

Zeldow BM. Bayesian Nonparametric Methods For Causal Inference And Prediction. [Internet] [Thesis]. University of Pennsylvania; 2017. [cited 2019 Aug 17]. Available from: https://repository.upenn.edu/edissertations/2993.

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

Council of Science Editors:

Zeldow BM. Bayesian Nonparametric Methods For Causal Inference And Prediction. [Thesis]. University of Pennsylvania; 2017. Available from: https://repository.upenn.edu/edissertations/2993

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

[1] [2] [3] [4] [5]

.