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You searched for subject:(random forest). Showing records 1 – 30 of 377 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 October 20, 2019. 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. 20 Oct 2019.

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 2019 Oct 20]. 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 October 20, 2019. 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. 20 Oct 2019.

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 2019 Oct 20]. 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 October 20, 2019. 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. 20 Oct 2019.

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 2019 Oct 20]. 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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Sieben W. Datengestützte Regelgenerierung für die Alarmgebung im Online-Monitoring von Intensivpatienten. [Internet] [Thesis]. Technische Universität Dortmund; 2009. [cited 2019 Oct 20]. 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 Washington

5. BackusMayes, John. Search for associated production of Z and Higgs bosons in proton-antiproton collisions at 1.96 TeV.

Degree: 2010, University of Washington

 We present a search for associated production of Z and Higgs bosons in 4.2/fb of ppbar collisions at sqrt{s} = 1.96 TeV, produced in RunII… (more)

Subjects/Keywords: D0; Tevatron; random forest; Higgs; Higgsstrahlung

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APA (6th Edition):

BackusMayes, J. (2010). Search for associated production of Z and Higgs bosons in proton-antiproton collisions at 1.96 TeV. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/16335

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):

BackusMayes, John. “Search for associated production of Z and Higgs bosons in proton-antiproton collisions at 1.96 TeV.” 2010. Thesis, University of Washington. Accessed October 20, 2019. http://hdl.handle.net/1773/16335.

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

MLA Handbook (7th Edition):

BackusMayes, John. “Search for associated production of Z and Higgs bosons in proton-antiproton collisions at 1.96 TeV.” 2010. Web. 20 Oct 2019.

Vancouver:

BackusMayes J. Search for associated production of Z and Higgs bosons in proton-antiproton collisions at 1.96 TeV. [Internet] [Thesis]. University of Washington; 2010. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1773/16335.

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

Council of Science Editors:

BackusMayes J. Search for associated production of Z and Higgs bosons in proton-antiproton collisions at 1.96 TeV. [Thesis]. University of Washington; 2010. Available from: http://hdl.handle.net/1773/16335

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


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 October 20, 2019. https://scholarworks.umt.edu/etd/199.

MLA Handbook (7th Edition):

Elmore, Nathan J. “CLASSIFYING EMOTION USING STREAMING OF PHYSIOLOGICAL CORRELATES OF EMOTION.” 2012. Web. 20 Oct 2019.

Vancouver:

Elmore NJ. CLASSIFYING EMOTION USING STREAMING OF PHYSIOLOGICAL CORRELATES OF EMOTION. [Internet] [Masters thesis]. Montana Tech; 2012. [cited 2019 Oct 20]. 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


Linnaeus University

7. Wålinder, Andreas. Evaluation of logistic regression and random forest classification based on prediction accuracy and metadata analysis.

Degree: Mathematics, 2014, Linnaeus University

  Model selection is an important part of classification. In this thesis we study the two classification models logistic regression and random forest. They are… (more)

Subjects/Keywords: classification; logistic regression; random forest; metadata

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APA (6th Edition):

Wålinder, A. (2014). Evaluation of logistic regression and random forest classification based on prediction accuracy and metadata analysis. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35126

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):

Wålinder, Andreas. “Evaluation of logistic regression and random forest classification based on prediction accuracy and metadata analysis.” 2014. Thesis, Linnaeus University. Accessed October 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35126.

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

MLA Handbook (7th Edition):

Wålinder, Andreas. “Evaluation of logistic regression and random forest classification based on prediction accuracy and metadata analysis.” 2014. Web. 20 Oct 2019.

Vancouver:

Wålinder A. Evaluation of logistic regression and random forest classification based on prediction accuracy and metadata analysis. [Internet] [Thesis]. Linnaeus University; 2014. [cited 2019 Oct 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35126.

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

Council of Science Editors:

Wålinder A. Evaluation of logistic regression and random forest classification based on prediction accuracy and metadata analysis. [Thesis]. Linnaeus University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35126

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


KTH

8. 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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Röhss J. A Statistical Framework for Classification of Tumor Type from microRNA Data. [Internet] [Thesis]. KTH; 2016. [cited 2019 Oct 20]. 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

9. 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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Barroso JAA. Modelo preditivo para o risco de readmissão hospitalar . [Internet] [Thesis]. Universidade de Aveiro; 2017. [cited 2019 Oct 20]. 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


University of Miami

10. Tang, Fei. Random Forest Missing Data Approaches.

Degree: PhD, Biostatistics (Medicine), 2017, University of Miami

Random forest (RF) missing data algorithms are an attractive approach for imputing missing data. They have the desirable properties of being able to handle mixed… (more)

Subjects/Keywords: Random Forest; Imputation; MESA data; Missing data

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APA (6th Edition):

Tang, F. (2017). Random Forest Missing Data Approaches. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/1852

Chicago Manual of Style (16th Edition):

Tang, Fei. “Random Forest Missing Data Approaches.” 2017. Doctoral Dissertation, University of Miami. Accessed October 20, 2019. https://scholarlyrepository.miami.edu/oa_dissertations/1852.

MLA Handbook (7th Edition):

Tang, Fei. “Random Forest Missing Data Approaches.” 2017. Web. 20 Oct 2019.

Vancouver:

Tang F. Random Forest Missing Data Approaches. [Internet] [Doctoral dissertation]. University of Miami; 2017. [cited 2019 Oct 20]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1852.

Council of Science Editors:

Tang F. Random Forest Missing Data Approaches. [Doctoral Dissertation]. University of Miami; 2017. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1852


University of Edinburgh

11. 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 (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 October 20, 2019. 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. 20 Oct 2019.

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 2019 Oct 20]. 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


University of Southern California

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

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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Zhu X. Identifying important microRNAs in progression of breast cancer. [Internet] [Masters thesis]. University of Southern California; 2014. [cited 2019 Oct 20]. 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


University of Michigan

13. Zhou, Weiqi. High-resolution Remote Sensing to Identify Tree Plantations from Natural Forests and Agriculture in Southern India.

Degree: MS, School for Environment and Sustainability, 2019, University of Michigan

 Tree plantations play an important role in tropical and subtropical countries, including providing economic benefits as well as ecosystem services. Over the past decade, the… (more)

Subjects/Keywords: plantation; remote sensing; classification; random forest

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APA (6th Edition):

Zhou, W. (2019). High-resolution Remote Sensing to Identify Tree Plantations from Natural Forests and Agriculture in Southern India. (Masters Thesis). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/148874

Chicago Manual of Style (16th Edition):

Zhou, Weiqi. “High-resolution Remote Sensing to Identify Tree Plantations from Natural Forests and Agriculture in Southern India.” 2019. Masters Thesis, University of Michigan. Accessed October 20, 2019. http://hdl.handle.net/2027.42/148874.

MLA Handbook (7th Edition):

Zhou, Weiqi. “High-resolution Remote Sensing to Identify Tree Plantations from Natural Forests and Agriculture in Southern India.” 2019. Web. 20 Oct 2019.

Vancouver:

Zhou W. High-resolution Remote Sensing to Identify Tree Plantations from Natural Forests and Agriculture in Southern India. [Internet] [Masters thesis]. University of Michigan; 2019. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/2027.42/148874.

Council of Science Editors:

Zhou W. High-resolution Remote Sensing to Identify Tree Plantations from Natural Forests and Agriculture in Southern India. [Masters Thesis]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/148874


Vanderbilt University

14. 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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Knorr DC. Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee. [Internet] [Masters thesis]. Vanderbilt University; 2019. [cited 2019 Oct 20]. 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/ ;


Penn State University

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

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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Xia Z. HARNESSING THE POWER OF GEOSPATIAL DATA WITH RANDOM FOREST TO FORECAST GYPSY MOTH OUTBREAK. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 Oct 20]. 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

16. 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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Jurák M. Detekce objektů na GPU . [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2019 Oct 20]. 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

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

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 October 20, 2019. 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. 20 Oct 2019.

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 2019 Oct 20]. 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

18. 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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Kuo B. Interpretable representation learning based on Deep Rule Forests. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Oct 20]. 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

19. 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 October 20, 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. 20 Oct 2019.

Vancouver:

Serna E. Quantifying error in vegetation mapping. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2019 Oct 20]. 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

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

Degree: MS, School 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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Cleaver M. USING RANDOM FOREST MODELING TO PREDICT EARTHWORM DISTRIBUTION IN THE OTTAWA NATIONAL FOREST. [Internet] [Masters thesis]. Michigan Technological University; 2018. [cited 2019 Oct 20]. 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

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

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 October 20, 2019. 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. 20 Oct 2019.

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 2019 Oct 20]. 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/ ;

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

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 October 20, 2019. 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. 20 Oct 2019.

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 2019 Oct 20]. 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

23. 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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

FLORÊNCIO JCP. Análise e predição de bilheterias de filmes . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2016. [cited 2019 Oct 20]. 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

24. 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 October 20, 2019. 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. 20 Oct 2019.

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 2019 Oct 20]. 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

25. 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 October 20, 2019. http://hdl.handle.net/10138/229702.

MLA Handbook (7th Edition):

Roivainen, Hege. “Document classification based on library catalogue metadata.” 2017. Web. 20 Oct 2019.

Vancouver:

Roivainen H. Document classification based on library catalogue metadata. [Internet] [Masters thesis]. University of Helsinki; 2017. [cited 2019 Oct 20]. 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

26. 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 October 20, 2019. 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. 20 Oct 2019.

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 2019 Oct 20]. 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

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

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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Grolig L. Implementace algoritmů založených na rozhodovacích stromech v jazyce C# . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2019 Oct 20]. 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

28. 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 October 20, 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. 20 Oct 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 Oct 20]. 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


NSYSU

29. 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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Chan F. Machine Learning Application to Loan Default Comparison and Prediction - A case study in USA and China. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Oct 20]. 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

30. 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 October 20, 2019. 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. 20 Oct 2019.

Vancouver:

Kurin S. A comparison of classification models for imbalanced datasets. [Internet] [Thesis]. Université Catholique de Louvain; 2017. [cited 2019 Oct 20]. 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

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