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You searched for subject:(Random Forest). Showing records 1 – 30 of 401 total matches.

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University of Georgia

1. Ganesan, Sivanesan. Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets.

Degree: MS, Computer Science, 2011, University of Georgia

 There are a number of learning methods that provide solutions to classification and regression problems, including Linear Regression, Decision Trees, KNN, and SVMs. These methods… (more)

Subjects/Keywords: Random Forest; Linear Regression

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

APA (6th Edition):

Ganesan, S. (2011). Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/ganesan_sivanesan_201105_ms

Chicago Manual of Style (16th Edition):

Ganesan, Sivanesan. “Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets.” 2011. Masters Thesis, University of Georgia. Accessed February 27, 2020. http://purl.galileo.usg.edu/uga_etd/ganesan_sivanesan_201105_ms.

MLA Handbook (7th Edition):

Ganesan, Sivanesan. “Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets.” 2011. Web. 27 Feb 2020.

Vancouver:

Ganesan S. Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets. [Internet] [Masters thesis]. University of Georgia; 2011. [cited 2020 Feb 27]. Available from: http://purl.galileo.usg.edu/uga_etd/ganesan_sivanesan_201105_ms.

Council of Science Editors:

Ganesan S. Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets. [Masters Thesis]. University of Georgia; 2011. Available from: http://purl.galileo.usg.edu/uga_etd/ganesan_sivanesan_201105_ms


University of Waterloo

2. Jin, Jiao. A Random Forest Based Method for Urban Land Cover Classification using LiDAR Data and Aerial Imagery.

Degree: 2012, University of Waterloo

 Urban land cover classification has always been crucial due to its ability to link many elements of human and physical environments. Timely, accurate, and detailed… (more)

Subjects/Keywords: Urban Land Cover; Random Forest

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

APA (6th Edition):

Jin, J. (2012). A Random Forest Based Method for Urban Land Cover Classification using LiDAR Data and Aerial Imagery. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6770

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):

Jin, Jiao. “A Random Forest Based Method for Urban Land Cover Classification using LiDAR Data and Aerial Imagery.” 2012. Thesis, University of Waterloo. Accessed February 27, 2020. http://hdl.handle.net/10012/6770.

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

MLA Handbook (7th Edition):

Jin, Jiao. “A Random Forest Based Method for Urban Land Cover Classification using LiDAR Data and Aerial Imagery.” 2012. Web. 27 Feb 2020.

Vancouver:

Jin J. A Random Forest Based Method for Urban Land Cover Classification using LiDAR Data and Aerial Imagery. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2020 Feb 27]. Available from: http://hdl.handle.net/10012/6770.

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

Council of Science Editors:

Jin J. A Random Forest Based Method for Urban Land Cover Classification using LiDAR Data and Aerial Imagery. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6770

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


University of Alberta

3. Zhou,Yi. Persistent Homology on Time series.

Degree: MS, Department of Mathematical and Statistical Sciences, 2016, University of Alberta

 Topology is a useful tool of mathematics studying how objects are related to one another by investigating their qualitative structural properties, such as connectivity and… (more)

Subjects/Keywords: Persistent Homology; Time Series; Random Forest

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APA (6th Edition):

Zhou,Yi. (2016). Persistent Homology on Time series. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cvx021f40p

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Zhou,Yi. “Persistent Homology on Time series.” 2016. Masters Thesis, University of Alberta. Accessed February 27, 2020. https://era.library.ualberta.ca/files/cvx021f40p.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Zhou,Yi. “Persistent Homology on Time series.” 2016. Web. 27 Feb 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Zhou,Yi. Persistent Homology on Time series. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2020 Feb 27]. Available from: https://era.library.ualberta.ca/files/cvx021f40p.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Zhou,Yi. Persistent Homology on Time series. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cvx021f40p

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

4. Sieben, Wiebke. Datengestützte Regelgenerierung für die Alarmgebung im Online-Monitoring von Intensivpatienten.

Degree: 2009, Technische Universität Dortmund

 In dieser Dissertation wird die Eignung datengestützt generierter Alarmregeln für die Überwachung von Patienten auf der Intensivstation untersucht. Hierfür wird ein bekantes Klassifikationsverfahren modifiziert, so… (more)

Subjects/Keywords: Klassifikation; Patienten-Monitoring; Random Forest; 310

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APA (6th Edition):

Sieben, W. (2009). Datengestützte Regelgenerierung für die Alarmgebung im Online-Monitoring von Intensivpatienten. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/26009

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):

Sieben, Wiebke. “Datengestützte Regelgenerierung für die Alarmgebung im Online-Monitoring von Intensivpatienten.” 2009. Thesis, Technische Universität Dortmund. Accessed February 27, 2020. http://hdl.handle.net/2003/26009.

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

MLA Handbook (7th Edition):

Sieben, Wiebke. “Datengestützte Regelgenerierung für die Alarmgebung im Online-Monitoring von Intensivpatienten.” 2009. Web. 27 Feb 2020.

Vancouver:

Sieben W. Datengestützte Regelgenerierung für die Alarmgebung im Online-Monitoring von Intensivpatienten. [Internet] [Thesis]. Technische Universität Dortmund; 2009. [cited 2020 Feb 27]. Available from: http://hdl.handle.net/2003/26009.

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

Council of Science Editors:

Sieben W. Datengestützte Regelgenerierung für die Alarmgebung im Online-Monitoring von Intensivpatienten. [Thesis]. Technische Universität Dortmund; 2009. Available from: http://hdl.handle.net/2003/26009

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


University of Southern California

5. Zhu, Xun. Identifying important microRNAs in progression of breast cancer.

Degree: MS, Applied Mathematics, 2014, University of Southern California

 Stefan Wuchty et. al. from PLOS summarized a workflow to identify important miRs of pathways for a type of tumor, which uses GSEA to measure… (more)

Subjects/Keywords: microRNA; GSEA; random‐forest; p‐value

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APA (6th Edition):

Zhu, X. (2014). Identifying important microRNAs in progression of breast cancer. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/435497/rec/3328

Chicago Manual of Style (16th Edition):

Zhu, Xun. “Identifying important microRNAs in progression of breast cancer.” 2014. Masters Thesis, University of Southern California. Accessed February 27, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/435497/rec/3328.

MLA Handbook (7th Edition):

Zhu, Xun. “Identifying important microRNAs in progression of breast cancer.” 2014. Web. 27 Feb 2020.

Vancouver:

Zhu X. Identifying important microRNAs in progression of breast cancer. [Internet] [Masters thesis]. University of Southern California; 2014. [cited 2020 Feb 27]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/435497/rec/3328.

Council of Science Editors:

Zhu X. Identifying important microRNAs in progression of breast cancer. [Masters Thesis]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/435497/rec/3328


Montana Tech

6. Elmore, Nathan J. CLASSIFYING EMOTION USING STREAMING OF PHYSIOLOGICAL CORRELATES OF EMOTION.

Degree: MS, 2012, Montana Tech

 The ability for a computer to recognize emotions would have many uses. In the field of human-computer interaction, it would be useful if computers could… (more)

Subjects/Keywords: emotion; machine learning; random forest; streaming

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APA (6th Edition):

Elmore, N. J. (2012). CLASSIFYING EMOTION USING STREAMING OF PHYSIOLOGICAL CORRELATES OF EMOTION. (Masters Thesis). Montana Tech. Retrieved from https://scholarworks.umt.edu/etd/199

Chicago Manual of Style (16th Edition):

Elmore, Nathan J. “CLASSIFYING EMOTION USING STREAMING OF PHYSIOLOGICAL CORRELATES OF EMOTION.” 2012. Masters Thesis, Montana Tech. Accessed February 27, 2020. https://scholarworks.umt.edu/etd/199.

MLA Handbook (7th Edition):

Elmore, Nathan J. “CLASSIFYING EMOTION USING STREAMING OF PHYSIOLOGICAL CORRELATES OF EMOTION.” 2012. Web. 27 Feb 2020.

Vancouver:

Elmore NJ. CLASSIFYING EMOTION USING STREAMING OF PHYSIOLOGICAL CORRELATES OF EMOTION. [Internet] [Masters thesis]. Montana Tech; 2012. [cited 2020 Feb 27]. Available from: https://scholarworks.umt.edu/etd/199.

Council of Science Editors:

Elmore NJ. CLASSIFYING EMOTION USING STREAMING OF PHYSIOLOGICAL CORRELATES OF EMOTION. [Masters Thesis]. Montana Tech; 2012. Available from: https://scholarworks.umt.edu/etd/199

7. Barroso, João António Araújo. Modelo preditivo para o risco de readmissão hospitalar .

Degree: 2017, Universidade de Aveiro

 O desenvolvimento deste projeto passou por 4 fases: duas pesquisas preliminares em momentos distintos; construção e avaliação de modelos preditivos; desenvolvimento de uma aplicação web… (more)

Subjects/Keywords: Random forest; Readmissão hospitalar; OpenCPU; Modelo preditivo

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APA (6th Edition):

Barroso, J. A. A. (2017). Modelo preditivo para o risco de readmissão hospitalar . (Thesis). Universidade de Aveiro. Retrieved from http://hdl.handle.net/10773/25092

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):

Barroso, João António Araújo. “Modelo preditivo para o risco de readmissão hospitalar .” 2017. Thesis, Universidade de Aveiro. Accessed February 27, 2020. http://hdl.handle.net/10773/25092.

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

MLA Handbook (7th Edition):

Barroso, João António Araújo. “Modelo preditivo para o risco de readmissão hospitalar .” 2017. Web. 27 Feb 2020.

Vancouver:

Barroso JAA. Modelo preditivo para o risco de readmissão hospitalar . [Internet] [Thesis]. Universidade de Aveiro; 2017. [cited 2020 Feb 27]. Available from: http://hdl.handle.net/10773/25092.

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

Council of Science Editors:

Barroso JAA. Modelo preditivo para o risco de readmissão hospitalar . [Thesis]. Universidade de Aveiro; 2017. Available from: http://hdl.handle.net/10773/25092

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

8. Neira Gonzalez, Lara Andrea. Studying the ability of finding single and interaction effects with Random Forest, and its application in psychiatric genetics.

Degree: PhD, 2018, University of Edinburgh

 Psychotic disorders such as schizophrenia and bipolar disorder have a strong genetic component. The aetiology of psychoses is known to be complex, including additive effects… (more)

Subjects/Keywords: machine learning; Random Forest; psychiatry; genetics; epistasis

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

APA (6th Edition):

Neira Gonzalez, L. A. (2018). Studying the ability of finding single and interaction effects with Random Forest, and its application in psychiatric genetics. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/31337

Chicago Manual of Style (16th Edition):

Neira Gonzalez, Lara Andrea. “Studying the ability of finding single and interaction effects with Random Forest, and its application in psychiatric genetics.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed February 27, 2020. http://hdl.handle.net/1842/31337.

MLA Handbook (7th Edition):

Neira Gonzalez, Lara Andrea. “Studying the ability of finding single and interaction effects with Random Forest, and its application in psychiatric genetics.” 2018. Web. 27 Feb 2020.

Vancouver:

Neira Gonzalez LA. Studying the ability of finding single and interaction effects with Random Forest, and its application in psychiatric genetics. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2020 Feb 27]. Available from: http://hdl.handle.net/1842/31337.

Council of Science Editors:

Neira Gonzalez LA. Studying the ability of finding single and interaction effects with Random Forest, and its application in psychiatric genetics. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/31337


Vanderbilt University

9. Knorr, David Christopher. Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee.

Degree: MS, Earth and Environmental Sciences, 2019, Vanderbilt University

 Gentrification is a polarizing and elusive type of neighborhood change that disproportionately threatens our communityâs most vulnerable populations. The lived consequences of gentrification have merited… (more)

Subjects/Keywords: machine learning; random forest; spatial analysis; Gentrification

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APA (6th Edition):

Knorr, D. C. (2019). Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07192019-110344/ ;

Chicago Manual of Style (16th Edition):

Knorr, David Christopher. “Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee.” 2019. Masters Thesis, Vanderbilt University. Accessed February 27, 2020. http://etd.library.vanderbilt.edu/available/etd-07192019-110344/ ;.

MLA Handbook (7th Edition):

Knorr, David Christopher. “Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee.” 2019. Web. 27 Feb 2020.

Vancouver:

Knorr DC. Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee. [Internet] [Masters thesis]. Vanderbilt University; 2019. [cited 2020 Feb 27]. Available from: http://etd.library.vanderbilt.edu/available/etd-07192019-110344/ ;.

Council of Science Editors:

Knorr DC. Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee. [Masters Thesis]. Vanderbilt University; 2019. Available from: http://etd.library.vanderbilt.edu/available/etd-07192019-110344/ ;


KTH

10. Röhss, Josefine. A Statistical Framework for Classification of Tumor Type from microRNA Data.

Degree: Mathematical Statistics, 2016, KTH

Hepatocellular carcinoma (HCC) is a type of liver cancer with low survival rate, not least due to the difficulty of diagnosing it in an… (more)

Subjects/Keywords: miRNA; mRNA; random forest; classification; HCC; diagnosis

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APA (6th Edition):

Röhss, J. (2016). A Statistical Framework for Classification of Tumor Type from microRNA Data. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191990

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):

Röhss, Josefine. “A Statistical Framework for Classification of Tumor Type from microRNA Data.” 2016. Thesis, KTH. Accessed February 27, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191990.

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

MLA Handbook (7th Edition):

Röhss, Josefine. “A Statistical Framework for Classification of Tumor Type from microRNA Data.” 2016. Web. 27 Feb 2020.

Vancouver:

Röhss J. A Statistical Framework for Classification of Tumor Type from microRNA Data. [Internet] [Thesis]. KTH; 2016. [cited 2020 Feb 27]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191990.

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

Council of Science Editors:

Röhss J. A Statistical Framework for Classification of Tumor Type from microRNA Data. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191990

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


University of Cambridge

11. Bland, Matthew Paul. Targeting domestic abuse by mining police records.

Degree: PhD, 2020, University of Cambridge

 This dissertation presents findings from analyses of three large datasets of domestic abuse records sourced from multiple police forces in England and Wales. It seeks… (more)

Subjects/Keywords: Domestic Abuse; Police Data; Random Forest

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APA (6th Edition):

Bland, M. P. (2020). Targeting domestic abuse by mining police records. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/299412 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793089

Chicago Manual of Style (16th Edition):

Bland, Matthew Paul. “Targeting domestic abuse by mining police records.” 2020. Doctoral Dissertation, University of Cambridge. Accessed February 27, 2020. https://www.repository.cam.ac.uk/handle/1810/299412 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793089.

MLA Handbook (7th Edition):

Bland, Matthew Paul. “Targeting domestic abuse by mining police records.” 2020. Web. 27 Feb 2020.

Vancouver:

Bland MP. Targeting domestic abuse by mining police records. [Internet] [Doctoral dissertation]. University of Cambridge; 2020. [cited 2020 Feb 27]. Available from: https://www.repository.cam.ac.uk/handle/1810/299412 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793089.

Council of Science Editors:

Bland MP. Targeting domestic abuse by mining police records. [Doctoral Dissertation]. University of Cambridge; 2020. Available from: https://www.repository.cam.ac.uk/handle/1810/299412 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793089


Penn State University

12. Xia, Zhiyue. HARNESSING THE POWER OF GEOSPATIAL DATA WITH RANDOM FOREST TO FORECAST GYPSY MOTH OUTBREAK.

Degree: 2018, Penn State University

 The gypsy moth (Lymantria dispar) is a non-native forest pest that was introduced to the USA in 1869. Since then it has spread continuously across… (more)

Subjects/Keywords: Gypsy moth; Random Forest; Random Forests; Forest disturbance; Spatial modeling; Ecological modeling

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APA (6th Edition):

Xia, Z. (2018). HARNESSING THE POWER OF GEOSPATIAL DATA WITH RANDOM FOREST TO FORECAST GYPSY MOTH OUTBREAK. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15704zzx13

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):

Xia, Zhiyue. “HARNESSING THE POWER OF GEOSPATIAL DATA WITH RANDOM FOREST TO FORECAST GYPSY MOTH OUTBREAK.” 2018. Thesis, Penn State University. Accessed February 27, 2020. https://etda.libraries.psu.edu/catalog/15704zzx13.

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

MLA Handbook (7th Edition):

Xia, Zhiyue. “HARNESSING THE POWER OF GEOSPATIAL DATA WITH RANDOM FOREST TO FORECAST GYPSY MOTH OUTBREAK.” 2018. Web. 27 Feb 2020.

Vancouver:

Xia Z. HARNESSING THE POWER OF GEOSPATIAL DATA WITH RANDOM FOREST TO FORECAST GYPSY MOTH OUTBREAK. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Feb 27]. Available from: https://etda.libraries.psu.edu/catalog/15704zzx13.

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

Council of Science Editors:

Xia Z. HARNESSING THE POWER OF GEOSPATIAL DATA WITH RANDOM FOREST TO FORECAST GYPSY MOTH OUTBREAK. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/15704zzx13

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


Brno University of Technology

13. Jurák, Martin. Detekce objektů na GPU .

Degree: 2015, Brno University of Technology

 Tato práce je zaměřena na akceleraci detekce objektů v obraze metodou Random Forest. Detektor Random Forest se skládá ze souboru náhodných rozhodovacích stromů, které jsou… (more)

Subjects/Keywords: Detekce objektů; GPGPU; GPU; OpenCL; Random Forest; Object detection; GPGPU; GPU; OpenCL; Random Forest

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

APA (6th Edition):

Jurák, M. (2015). Detekce objektů na GPU . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52221

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):

Jurák, Martin. “Detekce objektů na GPU .” 2015. Thesis, Brno University of Technology. Accessed February 27, 2020. http://hdl.handle.net/11012/52221.

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

MLA Handbook (7th Edition):

Jurák, Martin. “Detekce objektů na GPU .” 2015. Web. 27 Feb 2020.

Vancouver:

Jurák M. Detekce objektů na GPU . [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2020 Feb 27]. Available from: http://hdl.handle.net/11012/52221.

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

Council of Science Editors:

Jurák M. Detekce objektů na GPU . [Thesis]. Brno University of Technology; 2015. Available from: http://hdl.handle.net/11012/52221

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


University of Edinburgh

14. Fedrigo, Melissa. Estimating Biomass in the Mountain Regions of Bwindi Impenetrable National Park, Uganda using Radar and Optical Remote Sensing.

Degree: 2009, University of Edinburgh

 Field measured estimates of aboveground biomass (AGB) for 15 transects in Bwindi Impenetrable National Park (BINP), Uganda were used to generate a number of prediction… (more)

Subjects/Keywords: biomass; remote sensing; random forest; tropical forest; carbon

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APA (6th Edition):

Fedrigo, M. (2009). Estimating Biomass in the Mountain Regions of Bwindi Impenetrable National Park, Uganda using Radar and Optical Remote Sensing. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3094

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):

Fedrigo, Melissa. “Estimating Biomass in the Mountain Regions of Bwindi Impenetrable National Park, Uganda using Radar and Optical Remote Sensing.” 2009. Thesis, University of Edinburgh. Accessed February 27, 2020. http://hdl.handle.net/1842/3094.

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

MLA Handbook (7th Edition):

Fedrigo, Melissa. “Estimating Biomass in the Mountain Regions of Bwindi Impenetrable National Park, Uganda using Radar and Optical Remote Sensing.” 2009. Web. 27 Feb 2020.

Vancouver:

Fedrigo M. Estimating Biomass in the Mountain Regions of Bwindi Impenetrable National Park, Uganda using Radar and Optical Remote Sensing. [Internet] [Thesis]. University of Edinburgh; 2009. [cited 2020 Feb 27]. Available from: http://hdl.handle.net/1842/3094.

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

Council of Science Editors:

Fedrigo M. Estimating Biomass in the Mountain Regions of Bwindi Impenetrable National Park, Uganda using Radar and Optical Remote Sensing. [Thesis]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/3094

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


NSYSU

15. Kuo, Bo-Wen. Interpretable representation learning based on Deep Rule Forests.

Degree: Master, Information Management, 2018, NSYSU

 The spirit of tree-based methods is to learn rules. A large number of machine learning techniques are tree-based. More complicated tree learners may result in… (more)

Subjects/Keywords: Rule Learning; Random Forest; Representation Learning; Interpretability; Deep Rule Forest

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

APA (6th Edition):

Kuo, B. (2018). Interpretable representation learning based on Deep Rule Forests. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-134901

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):

Kuo, Bo-Wen. “Interpretable representation learning based on Deep Rule Forests.” 2018. Thesis, NSYSU. Accessed February 27, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-134901.

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

MLA Handbook (7th Edition):

Kuo, Bo-Wen. “Interpretable representation learning based on Deep Rule Forests.” 2018. Web. 27 Feb 2020.

Vancouver:

Kuo B. Interpretable representation learning based on Deep Rule Forests. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Feb 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-134901.

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

Council of Science Editors:

Kuo B. Interpretable representation learning based on Deep Rule Forests. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-134901

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


University of Missouri – Columbia

16. 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)

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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 February 27, 2020. 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. 27 Feb 2020.

Vancouver:

Serna E. Quantifying error in vegetation mapping. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2020 Feb 27]. 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


Michigan Technological University

17. Cleaver, Megan. USING RANDOM FOREST MODELING TO PREDICT EARTHWORM DISTRIBUTION IN THE OTTAWA NATIONAL FOREST.

Degree: MS, College of Forest Resources and Environmental Science, 2018, Michigan Technological University

  Our study applies the machine learning method, Random Forest (RF), to understand distribution patterns and predictive powers of environmental variables determining earthworm occurrence in… (more)

Subjects/Keywords: Earthworms; Distribution; Predictive Modeling; Random Forest; GIS; Ottawa National Forest; Ecology and Evolutionary Biology; Forest Management; Forest Sciences

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

APA (6th Edition):

Cleaver, M. (2018). USING RANDOM FOREST MODELING TO PREDICT EARTHWORM DISTRIBUTION IN THE OTTAWA NATIONAL FOREST. (Masters Thesis). Michigan Technological University. Retrieved from https://digitalcommons.mtu.edu/etdr/716

Chicago Manual of Style (16th Edition):

Cleaver, Megan. “USING RANDOM FOREST MODELING TO PREDICT EARTHWORM DISTRIBUTION IN THE OTTAWA NATIONAL FOREST.” 2018. Masters Thesis, Michigan Technological University. Accessed February 27, 2020. https://digitalcommons.mtu.edu/etdr/716.

MLA Handbook (7th Edition):

Cleaver, Megan. “USING RANDOM FOREST MODELING TO PREDICT EARTHWORM DISTRIBUTION IN THE OTTAWA NATIONAL FOREST.” 2018. Web. 27 Feb 2020.

Vancouver:

Cleaver M. USING RANDOM FOREST MODELING TO PREDICT EARTHWORM DISTRIBUTION IN THE OTTAWA NATIONAL FOREST. [Internet] [Masters thesis]. Michigan Technological University; 2018. [cited 2020 Feb 27]. Available from: https://digitalcommons.mtu.edu/etdr/716.

Council of Science Editors:

Cleaver M. USING RANDOM FOREST MODELING TO PREDICT EARTHWORM DISTRIBUTION IN THE OTTAWA NATIONAL FOREST. [Masters Thesis]. Michigan Technological University; 2018. Available from: https://digitalcommons.mtu.edu/etdr/716

18. Oshiro, Thais Mayumi. Uma abordagem para a construção de uma única árvore a partir de uma Random Forest para classificação de bases de expressão gênica.

Degree: Mestrado, Bioinformática, 2013, University of São Paulo

Random Forest é uma técnica computacionalmente eciente que pode operar rapida-mente sobre grandes bases de dados. Ela tem sido usada em muitos projetos de pesquisa… (more)

Subjects/Keywords: Aprendizado de Máquina; Classicador Simbólico.; Expressão Gênica; Gene Expression; Machine Learning; Random Forest; Random Forest; Symbolic Classier.

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APA (6th Edition):

Oshiro, T. M. (2013). Uma abordagem para a construção de uma única árvore a partir de uma Random Forest para classificação de bases de expressão gênica. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/95/95131/tde-15102013-183234/ ;

Chicago Manual of Style (16th Edition):

Oshiro, Thais Mayumi. “Uma abordagem para a construção de uma única árvore a partir de uma Random Forest para classificação de bases de expressão gênica.” 2013. Masters Thesis, University of São Paulo. Accessed February 27, 2020. http://www.teses.usp.br/teses/disponiveis/95/95131/tde-15102013-183234/ ;.

MLA Handbook (7th Edition):

Oshiro, Thais Mayumi. “Uma abordagem para a construção de uma única árvore a partir de uma Random Forest para classificação de bases de expressão gênica.” 2013. Web. 27 Feb 2020.

Vancouver:

Oshiro TM. Uma abordagem para a construção de uma única árvore a partir de uma Random Forest para classificação de bases de expressão gênica. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2020 Feb 27]. Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-15102013-183234/ ;.

Council of Science Editors:

Oshiro TM. Uma abordagem para a construção de uma única árvore a partir de uma Random Forest para classificação de bases de expressão gênica. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-15102013-183234/ ;

19. Tran khac, Viet. Le rôle des facteurs environnementaux sur la concentration des métaux-tracesdans les lacs urbains -Lac de Pampulha, Lac de Créteil et 49 lacs péri-urbains d’Ile de France : The role of environmental factors on trace-metalconcentrations in urban lakes - Lake Pampulha, Lake Créteil and 49 lakes in the Ile-de-France region.

Degree: Docteur es, Sciences et Techniques de l'Environnement, 2016, Université Paris-Est

 Les lacs jouent un rôle particulier dans le cycle de l’eau dans les bassins versants urbains. La stratification thermique et le temps de séjour de… (more)

Subjects/Keywords: Lacs urbains; Métaux traces; Spéciation; Biodisponibilité; Random Forest model; Urban lakes; Trace metal; Speciation; Bioavailability; Landuse; Random Forest model

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APA (6th Edition):

Tran khac, V. (2016). Le rôle des facteurs environnementaux sur la concentration des métaux-tracesdans les lacs urbains -Lac de Pampulha, Lac de Créteil et 49 lacs péri-urbains d’Ile de France : The role of environmental factors on trace-metalconcentrations in urban lakes - Lake Pampulha, Lake Créteil and 49 lakes in the Ile-de-France region. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2016PESC1160

Chicago Manual of Style (16th Edition):

Tran khac, Viet. “Le rôle des facteurs environnementaux sur la concentration des métaux-tracesdans les lacs urbains -Lac de Pampulha, Lac de Créteil et 49 lacs péri-urbains d’Ile de France : The role of environmental factors on trace-metalconcentrations in urban lakes - Lake Pampulha, Lake Créteil and 49 lakes in the Ile-de-France region.” 2016. Doctoral Dissertation, Université Paris-Est. Accessed February 27, 2020. http://www.theses.fr/2016PESC1160.

MLA Handbook (7th Edition):

Tran khac, Viet. “Le rôle des facteurs environnementaux sur la concentration des métaux-tracesdans les lacs urbains -Lac de Pampulha, Lac de Créteil et 49 lacs péri-urbains d’Ile de France : The role of environmental factors on trace-metalconcentrations in urban lakes - Lake Pampulha, Lake Créteil and 49 lakes in the Ile-de-France region.” 2016. Web. 27 Feb 2020.

Vancouver:

Tran khac V. Le rôle des facteurs environnementaux sur la concentration des métaux-tracesdans les lacs urbains -Lac de Pampulha, Lac de Créteil et 49 lacs péri-urbains d’Ile de France : The role of environmental factors on trace-metalconcentrations in urban lakes - Lake Pampulha, Lake Créteil and 49 lakes in the Ile-de-France region. [Internet] [Doctoral dissertation]. Université Paris-Est; 2016. [cited 2020 Feb 27]. Available from: http://www.theses.fr/2016PESC1160.

Council of Science Editors:

Tran khac V. Le rôle des facteurs environnementaux sur la concentration des métaux-tracesdans les lacs urbains -Lac de Pampulha, Lac de Créteil et 49 lacs péri-urbains d’Ile de France : The role of environmental factors on trace-metalconcentrations in urban lakes - Lake Pampulha, Lake Créteil and 49 lakes in the Ile-de-France region. [Doctoral Dissertation]. Université Paris-Est; 2016. Available from: http://www.theses.fr/2016PESC1160

20. FLORÊNCIO, João Carlos Procópio. Análise e predição de bilheterias de filmes .

Degree: 2016, Universidade Federal de Pernambuco

 Prever o sucesso de um filme e, por consequência, seu sucesso nas bilheterias tem uma grande importância na indústria cinematográfica, desde a fase de pré-produção… (more)

Subjects/Keywords: Predição de bilheteria; Recomendação; Box-Office; Filmes; Random Forest; Box Office Prediction; Recommendation; Box-Office; Movies; Random Forest

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

APA (6th Edition):

FLORÊNCIO, J. C. P. (2016). Análise e predição de bilheterias de filmes . (Thesis). Universidade Federal de Pernambuco. Retrieved from http://repositorio.ufpe.br/handle/123456789/17639

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):

FLORÊNCIO, João Carlos Procópio. “Análise e predição de bilheterias de filmes .” 2016. Thesis, Universidade Federal de Pernambuco. Accessed February 27, 2020. http://repositorio.ufpe.br/handle/123456789/17639.

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

MLA Handbook (7th Edition):

FLORÊNCIO, João Carlos Procópio. “Análise e predição de bilheterias de filmes .” 2016. Web. 27 Feb 2020.

Vancouver:

FLORÊNCIO JCP. Análise e predição de bilheterias de filmes . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2016. [cited 2020 Feb 27]. Available from: http://repositorio.ufpe.br/handle/123456789/17639.

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

Council of Science Editors:

FLORÊNCIO JCP. Análise e predição de bilheterias de filmes . [Thesis]. Universidade Federal de Pernambuco; 2016. Available from: http://repositorio.ufpe.br/handle/123456789/17639

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

21. Ebrahimi, Shahin. Contribution to automatic adjustments of vertebrae landmarks on x-ray images for 3D reconstruction and quantification of clinical indices : Contribution aux ajustements automatiques de points anatomiques des vertèbres pour la reconstruction 3D et la quantification d’indices cliniques.

Degree: Docteur es, Informatique-traitement du signal, 2017, Paris, ENSAM

L’exploitation de données radiographiques, en particulier pour la reconstruction 3D du rachis de patients scoliotiques, est un prérequis à la modélisation personnalisée. Les méthodes actuelles,… (more)

Subjects/Keywords: Rachis; Radiographies; Vertèbres; Random forest; Descripteurs visuels; Descripteurs contextuels; Spine; X-Ray; Vertebrae landmarks; Random Forest; Visual features; Contextuel Features

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

APA (6th Edition):

Ebrahimi, S. (2017). Contribution to automatic adjustments of vertebrae landmarks on x-ray images for 3D reconstruction and quantification of clinical indices : Contribution aux ajustements automatiques de points anatomiques des vertèbres pour la reconstruction 3D et la quantification d’indices cliniques. (Doctoral Dissertation). Paris, ENSAM. Retrieved from http://www.theses.fr/2017ENAM0050

Chicago Manual of Style (16th Edition):

Ebrahimi, Shahin. “Contribution to automatic adjustments of vertebrae landmarks on x-ray images for 3D reconstruction and quantification of clinical indices : Contribution aux ajustements automatiques de points anatomiques des vertèbres pour la reconstruction 3D et la quantification d’indices cliniques.” 2017. Doctoral Dissertation, Paris, ENSAM. Accessed February 27, 2020. http://www.theses.fr/2017ENAM0050.

MLA Handbook (7th Edition):

Ebrahimi, Shahin. “Contribution to automatic adjustments of vertebrae landmarks on x-ray images for 3D reconstruction and quantification of clinical indices : Contribution aux ajustements automatiques de points anatomiques des vertèbres pour la reconstruction 3D et la quantification d’indices cliniques.” 2017. Web. 27 Feb 2020.

Vancouver:

Ebrahimi S. Contribution to automatic adjustments of vertebrae landmarks on x-ray images for 3D reconstruction and quantification of clinical indices : Contribution aux ajustements automatiques de points anatomiques des vertèbres pour la reconstruction 3D et la quantification d’indices cliniques. [Internet] [Doctoral dissertation]. Paris, ENSAM; 2017. [cited 2020 Feb 27]. Available from: http://www.theses.fr/2017ENAM0050.

Council of Science Editors:

Ebrahimi S. Contribution to automatic adjustments of vertebrae landmarks on x-ray images for 3D reconstruction and quantification of clinical indices : Contribution aux ajustements automatiques de points anatomiques des vertèbres pour la reconstruction 3D et la quantification d’indices cliniques. [Doctoral Dissertation]. Paris, ENSAM; 2017. Available from: http://www.theses.fr/2017ENAM0050


University of Helsinki

22. Roivainen, Hege. Document classification based on library catalogue metadata.

Degree: Department of Modern Languages; Helsingfors universitet, Humanistiska fakulteten, Institutionen för moderna språk, 2017, University of Helsinki

 Kansalliskirjastojen metadataluettelot ovat hyviä informaatiolähteitä, sillä ne sisältävät tiedon lähes kaikesta tiettynä aikana ja tietyllä alueella julkaistusta aineistosta. Yleensä ne ovat kattavasti kuvailtuja, joten niitä… (more)

Subjects/Keywords: random forest; machine learning; genre classification; library catalogues; kieliteknologia; Language Technology; Språkteknologi; random forest; machine learning; genre classification; library catalogues

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

APA (6th Edition):

Roivainen, H. (2017). Document classification based on library catalogue metadata. (Masters Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/229702

Chicago Manual of Style (16th Edition):

Roivainen, Hege. “Document classification based on library catalogue metadata.” 2017. Masters Thesis, University of Helsinki. Accessed February 27, 2020. http://hdl.handle.net/10138/229702.

MLA Handbook (7th Edition):

Roivainen, Hege. “Document classification based on library catalogue metadata.” 2017. Web. 27 Feb 2020.

Vancouver:

Roivainen H. Document classification based on library catalogue metadata. [Internet] [Masters thesis]. University of Helsinki; 2017. [cited 2020 Feb 27]. Available from: http://hdl.handle.net/10138/229702.

Council of Science Editors:

Roivainen H. Document classification based on library catalogue metadata. [Masters Thesis]. University of Helsinki; 2017. Available from: http://hdl.handle.net/10138/229702

23. ARAÚJO, Gilderlanio Santana de. Uso de random forests e redes biológicas na associação de poliformismos à doença de Alzheimer .

Degree: 2013, Universidade Federal de Pernambuco

 O desenvolvimento de técnicas de genotipagem de baixo custo (SNP arrays) e as anotações de milhares de polimorfismos de nucleotídeo único (SNPs) em bancos de… (more)

Subjects/Keywords: GWAS. Random Forest. SNPs. Neuropsiquiatria. Fatores genéticos de risco.; GWAS. Random Forest. SNPs. Alzheimer’s Disease. Genetic Risk Factors.

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APA (6th Edition):

ARAÚJO, G. S. d. (2013). Uso de random forests e redes biológicas na associação de poliformismos à doença de Alzheimer . (Thesis). Universidade Federal de Pernambuco. Retrieved from https://repositorio.ufpe.br/handle/123456789/18012

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):

ARAÚJO, Gilderlanio Santana de. “Uso de random forests e redes biológicas na associação de poliformismos à doença de Alzheimer .” 2013. Thesis, Universidade Federal de Pernambuco. Accessed February 27, 2020. https://repositorio.ufpe.br/handle/123456789/18012.

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

MLA Handbook (7th Edition):

ARAÚJO, Gilderlanio Santana de. “Uso de random forests e redes biológicas na associação de poliformismos à doença de Alzheimer .” 2013. Web. 27 Feb 2020.

Vancouver:

ARAÚJO GSd. Uso de random forests e redes biológicas na associação de poliformismos à doença de Alzheimer . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2013. [cited 2020 Feb 27]. Available from: https://repositorio.ufpe.br/handle/123456789/18012.

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

Council of Science Editors:

ARAÚJO GSd. Uso de random forests e redes biológicas na associação de poliformismos à doença de Alzheimer . [Thesis]. Universidade Federal de Pernambuco; 2013. Available from: https://repositorio.ufpe.br/handle/123456789/18012

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


Brno University of Technology

24. Grolig, Lukáš. Implementace algoritmů založených na rozhodovacích stromech v jazyce C# .

Degree: 2013, Brno University of Technology

 Tato bakalářská práce se zabývá výběrem dolovacích algoritmů pro klasifikaci založených na rozhodovacích stromech pro analytický systém vyvíjený v rámci projektu Systém pro zvýšení bezpečnosti v… (more)

Subjects/Keywords: Dolování z dat; dolovací algoritmy; klasifikace; rozhodovací stromy; random forest; sprint; Data mining; mining algorithms; classification; decision trees; random forest; sprint

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APA (6th Edition):

Grolig, L. (2013). Implementace algoritmů založených na rozhodovacích stromech v jazyce C# . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54939

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):

Grolig, Lukáš. “Implementace algoritmů založených na rozhodovacích stromech v jazyce C# .” 2013. Thesis, Brno University of Technology. Accessed February 27, 2020. http://hdl.handle.net/11012/54939.

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

MLA Handbook (7th Edition):

Grolig, Lukáš. “Implementace algoritmů založených na rozhodovacích stromech v jazyce C# .” 2013. Web. 27 Feb 2020.

Vancouver:

Grolig L. Implementace algoritmů založených na rozhodovacích stromech v jazyce C# . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2020 Feb 27]. Available from: http://hdl.handle.net/11012/54939.

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

Council of Science Editors:

Grolig L. Implementace algoritmů založených na rozhodovacích stromech v jazyce C# . [Thesis]. Brno University of Technology; 2013. Available from: http://hdl.handle.net/11012/54939

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


Virginia Tech

25. 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

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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 February 27, 2020. 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. 27 Feb 2020.

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 2020 Feb 27]. 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


University of Connecticut

26. Hale, Daniel Connor. Human Dimensions of Roadside Vegetation Management across the Connecticut Landscape.

Degree: MS, Natural Resources, 2019, University of Connecticut

  Context For the roadside forest, utility vegetation management is a driver of landscape change that involves tradeoffs between reliable electric power and preservation of… (more)

Subjects/Keywords: Attitudes; Human Dimensions; Landscape Ecology; Random Forest; Roadside Forest Management; Vegetation Management

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

APA (6th Edition):

Hale, D. C. (2019). Human Dimensions of Roadside Vegetation Management across the Connecticut Landscape. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/1349

Chicago Manual of Style (16th Edition):

Hale, Daniel Connor. “Human Dimensions of Roadside Vegetation Management across the Connecticut Landscape.” 2019. Masters Thesis, University of Connecticut. Accessed February 27, 2020. https://opencommons.uconn.edu/gs_theses/1349.

MLA Handbook (7th Edition):

Hale, Daniel Connor. “Human Dimensions of Roadside Vegetation Management across the Connecticut Landscape.” 2019. Web. 27 Feb 2020.

Vancouver:

Hale DC. Human Dimensions of Roadside Vegetation Management across the Connecticut Landscape. [Internet] [Masters thesis]. University of Connecticut; 2019. [cited 2020 Feb 27]. Available from: https://opencommons.uconn.edu/gs_theses/1349.

Council of Science Editors:

Hale DC. Human Dimensions of Roadside Vegetation Management across the Connecticut Landscape. [Masters Thesis]. University of Connecticut; 2019. Available from: https://opencommons.uconn.edu/gs_theses/1349


NSYSU

27. Chan, Feng-Hua. Machine Learning Application to Loan Default Comparison and Prediction - A case study in USA and China.

Degree: Master, Master of Business Administration Program in International Business, 2017, NSYSU

 Online Peer-to-Peer (P2P) lending has been prevailing in the West countries such as USA, UK. The first company to offer peer-to-peer loans in the world… (more)

Subjects/Keywords: Random Forest; Logistic Regression; Machine Learning; USA; China; P2P Lending

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

APA (6th Edition):

Chan, F. (2017). Machine Learning Application to Loan Default Comparison and Prediction - A case study in USA and China. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620117-153611

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):

Chan, Feng-Hua. “Machine Learning Application to Loan Default Comparison and Prediction - A case study in USA and China.” 2017. Thesis, NSYSU. Accessed February 27, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620117-153611.

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

MLA Handbook (7th Edition):

Chan, Feng-Hua. “Machine Learning Application to Loan Default Comparison and Prediction - A case study in USA and China.” 2017. Web. 27 Feb 2020.

Vancouver:

Chan F. Machine Learning Application to Loan Default Comparison and Prediction - A case study in USA and China. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Feb 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620117-153611.

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

Council of Science Editors:

Chan F. Machine Learning Application to Loan Default Comparison and Prediction - A case study in USA and China. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620117-153611

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


Université Catholique de Louvain

28. Kurin, Sergei. A comparison of classification models for imbalanced datasets.

Degree: 2017, Université Catholique de Louvain

Many practical classification problems are imbalanced; i.e., at least one of the classes constitutes only a very small minority of the data. For such problems,… (more)

Subjects/Keywords: machine learning; classification; logistic regression; random forest; SMOTE; imbalanced dataset

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

APA (6th Edition):

Kurin, S. (2017). A comparison of classification models for imbalanced datasets. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/thesis:12870

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):

Kurin, Sergei. “A comparison of classification models for imbalanced datasets.” 2017. Thesis, Université Catholique de Louvain. Accessed February 27, 2020. http://hdl.handle.net/2078.1/thesis:12870.

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

MLA Handbook (7th Edition):

Kurin, Sergei. “A comparison of classification models for imbalanced datasets.” 2017. Web. 27 Feb 2020.

Vancouver:

Kurin S. A comparison of classification models for imbalanced datasets. [Internet] [Thesis]. Université Catholique de Louvain; 2017. [cited 2020 Feb 27]. Available from: http://hdl.handle.net/2078.1/thesis:12870.

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

Council of Science Editors:

Kurin S. A comparison of classification models for imbalanced datasets. [Thesis]. Université Catholique de Louvain; 2017. Available from: http://hdl.handle.net/2078.1/thesis:12870

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


NSYSU

29. Hsu, Yung-Cheng. Using Decision Tree Algorithm for the Detection and Decision Rule Construction of Defect on Dispensing Process.

Degree: Master, Information Management, 2018, NSYSU

 In recent years, due to the advancement of information technology, the analysis and research of big data has been widely applied in various industrial fields.… (more)

Subjects/Keywords: C5.0; Decision tree; Random forest; Data mining; Logistic regression

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

APA (6th Edition):

Hsu, Y. (2018). Using Decision Tree Algorithm for the Detection and Decision Rule Construction of Defect on Dispensing Process. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0419118-080930

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):

Hsu, Yung-Cheng. “Using Decision Tree Algorithm for the Detection and Decision Rule Construction of Defect on Dispensing Process.” 2018. Thesis, NSYSU. Accessed February 27, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0419118-080930.

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

MLA Handbook (7th Edition):

Hsu, Yung-Cheng. “Using Decision Tree Algorithm for the Detection and Decision Rule Construction of Defect on Dispensing Process.” 2018. Web. 27 Feb 2020.

Vancouver:

Hsu Y. Using Decision Tree Algorithm for the Detection and Decision Rule Construction of Defect on Dispensing Process. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Feb 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0419118-080930.

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

Council of Science Editors:

Hsu Y. Using Decision Tree Algorithm for the Detection and Decision Rule Construction of Defect on Dispensing Process. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0419118-080930

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


Rochester Institute of Technology

30. Young, Jessica. Predicting Cholera Positive Cases in Haiti.

Degree: MS, School of Mathematical Sciences (COS), 2017, Rochester Institute of Technology

  While Western countries typically run census surveys frequently, poorer countries such as Haiti do not have the money to do so; thus research into… (more)

Subjects/Keywords: CART; Imbalanced data; R; Random forest; Survey design; SVM

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

APA (6th Edition):

Young, J. (2017). Predicting Cholera Positive Cases in Haiti. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9401

Chicago Manual of Style (16th Edition):

Young, Jessica. “Predicting Cholera Positive Cases in Haiti.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed February 27, 2020. https://scholarworks.rit.edu/theses/9401.

MLA Handbook (7th Edition):

Young, Jessica. “Predicting Cholera Positive Cases in Haiti.” 2017. Web. 27 Feb 2020.

Vancouver:

Young J. Predicting Cholera Positive Cases in Haiti. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2020 Feb 27]. Available from: https://scholarworks.rit.edu/theses/9401.

Council of Science Editors:

Young J. Predicting Cholera Positive Cases in Haiti. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9401

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