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You searched for subject:(Random Forest). Showing records 1 – 30 of 577 total matches.

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Texas A&M University

1. Ku, Nian-Wei. Integration of Lidar Remote Sensing from Multiple Platforms to Assess Vegetation Biophysical Parameters.

Degree: PhD, Ecosystem Science and Management, 2018, Texas A&M University

 This research concentrates on using multiple platforms of lidar remote sensing for assessing vegetation biophysical parameters. Airborne and spaceborne light detection and ranging (lidar) (i.e.,… (more)

Subjects/Keywords: Lidar; Forest; Biomass; Random forests

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

APA (6th Edition):

Ku, N. (2018). Integration of Lidar Remote Sensing from Multiple Platforms to Assess Vegetation Biophysical Parameters. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173611

Chicago Manual of Style (16th Edition):

Ku, Nian-Wei. “Integration of Lidar Remote Sensing from Multiple Platforms to Assess Vegetation Biophysical Parameters.” 2018. Doctoral Dissertation, Texas A&M University. Accessed April 22, 2021. http://hdl.handle.net/1969.1/173611.

MLA Handbook (7th Edition):

Ku, Nian-Wei. “Integration of Lidar Remote Sensing from Multiple Platforms to Assess Vegetation Biophysical Parameters.” 2018. Web. 22 Apr 2021.

Vancouver:

Ku N. Integration of Lidar Remote Sensing from Multiple Platforms to Assess Vegetation Biophysical Parameters. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/1969.1/173611.

Council of Science Editors:

Ku N. Integration of Lidar Remote Sensing from Multiple Platforms to Assess Vegetation Biophysical Parameters. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173611

2. Thureborn, Oscar. AI på spårbilbana - Maskinen mot människan .

Degree: Chalmers tekniska högskola / Institutionen för data och informationsteknik, 2020, Chalmers University of Technology

 Artificiell Intelligens blir allt vanligare för att övervaka prestanda hos system. Ofta skickas data från flera system till en molntjänst som sedan behandlar den. Desto… (more)

Subjects/Keywords: Artificiell Intelligens; Spårbilbana; Random Forest

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APA (6th Edition):

Thureborn, O. (2020). AI på spårbilbana - Maskinen mot människan . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/301928

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):

Thureborn, Oscar. “AI på spårbilbana - Maskinen mot människan .” 2020. Thesis, Chalmers University of Technology. Accessed April 22, 2021. http://hdl.handle.net/20.500.12380/301928.

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

MLA Handbook (7th Edition):

Thureborn, Oscar. “AI på spårbilbana - Maskinen mot människan .” 2020. Web. 22 Apr 2021.

Vancouver:

Thureborn O. AI på spårbilbana - Maskinen mot människan . [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/20.500.12380/301928.

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

Council of Science Editors:

Thureborn O. AI på spårbilbana - Maskinen mot människan . [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/301928

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


University of Waterloo

3. 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 (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 April 22, 2021. 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. 22 Apr 2021.

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 2021 Apr 22]. 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 Georgia

4. Ganesan, Sivanesan. Regression Leaf Forest.

Degree: 2014, 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 (6th Edition):

Ganesan, S. (2014). Regression Leaf Forest. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/27128

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):

Ganesan, Sivanesan. “Regression Leaf Forest.” 2014. Thesis, University of Georgia. Accessed April 22, 2021. http://hdl.handle.net/10724/27128.

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

MLA Handbook (7th Edition):

Ganesan, Sivanesan. “Regression Leaf Forest.” 2014. Web. 22 Apr 2021.

Vancouver:

Ganesan S. Regression Leaf Forest. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10724/27128.

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

Council of Science Editors:

Ganesan S. Regression Leaf Forest. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/27128

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


University of Melbourne

5. FEDRIGO, MELISSA. Where is the forest carbon?: Characterising and modelling the structure and extent of south-eastern Australian temperate forests for improved estimation of carbon stocks.

Degree: 2015, University of Melbourne

 Forests play a vital role in the global carbon cycle as both a source and sink of carbon. Increasingly, remote sensing data is being used… (more)

Subjects/Keywords: lidar; remote sensing; forest carbon; forest structure; random forest

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

APA (6th Edition):

FEDRIGO, M. (2015). Where is the forest carbon?: Characterising and modelling the structure and extent of south-eastern Australian temperate forests for improved estimation of carbon stocks. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/57411

Chicago Manual of Style (16th Edition):

FEDRIGO, MELISSA. “Where is the forest carbon?: Characterising and modelling the structure and extent of south-eastern Australian temperate forests for improved estimation of carbon stocks.” 2015. Doctoral Dissertation, University of Melbourne. Accessed April 22, 2021. http://hdl.handle.net/11343/57411.

MLA Handbook (7th Edition):

FEDRIGO, MELISSA. “Where is the forest carbon?: Characterising and modelling the structure and extent of south-eastern Australian temperate forests for improved estimation of carbon stocks.” 2015. Web. 22 Apr 2021.

Vancouver:

FEDRIGO M. Where is the forest carbon?: Characterising and modelling the structure and extent of south-eastern Australian temperate forests for improved estimation of carbon stocks. [Internet] [Doctoral dissertation]. University of Melbourne; 2015. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/11343/57411.

Council of Science Editors:

FEDRIGO M. Where is the forest carbon?: Characterising and modelling the structure and extent of south-eastern Australian temperate forests for improved estimation of carbon stocks. [Doctoral Dissertation]. University of Melbourne; 2015. Available from: http://hdl.handle.net/11343/57411


University of Alberta

6. 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 April 22, 2021. 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. 22 Apr 2021.

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 2021 Apr 22]. 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


Vanderbilt University

7. 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 community’s 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. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13285

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):

Knorr, David Christopher. “Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee.” 2019. Thesis, Vanderbilt University. Accessed April 22, 2021. http://hdl.handle.net/1803/13285.

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

MLA Handbook (7th Edition):

Knorr, David Christopher. “Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee.” 2019. Web. 22 Apr 2021.

Vancouver:

Knorr DC. Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee. [Internet] [Thesis]. Vanderbilt University; 2019. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/1803/13285.

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

Council of Science Editors:

Knorr DC. Using Machine Learning to Identify and Predict Gentrification in Nashville, Tennessee. [Thesis]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/13285

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

8. 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 April 22, 2021. 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. 22 Apr 2021.

Vancouver:

Sieben W. Datengestützte Regelgenerierung für die Alarmgebung im Online-Monitoring von Intensivpatienten. [Internet] [Thesis]. Technische Universität Dortmund; 2009. [cited 2021 Apr 22]. 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

9. Voigt, Tobias. Threshold optimization and variable construction for classification in the MAGIC and FACT experiments.

Degree: 2014, Technische Universität Dortmund

 In the MAGIC and FACT experiments, random forests are usually used for a classification of a gamma ray signal and hadronic background. Random forests use… (more)

Subjects/Keywords: Classification; Astronomy; Random forest; 310; 570

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APA (6th Edition):

Voigt, T. (2014). Threshold optimization and variable construction for classification in the MAGIC and FACT experiments. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-14114

Chicago Manual of Style (16th Edition):

Voigt, Tobias. “Threshold optimization and variable construction for classification in the MAGIC and FACT experiments.” 2014. Doctoral Dissertation, Technische Universität Dortmund. Accessed April 22, 2021. http://dx.doi.org/10.17877/DE290R-14114.

MLA Handbook (7th Edition):

Voigt, Tobias. “Threshold optimization and variable construction for classification in the MAGIC and FACT experiments.” 2014. Web. 22 Apr 2021.

Vancouver:

Voigt T. Threshold optimization and variable construction for classification in the MAGIC and FACT experiments. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2014. [cited 2021 Apr 22]. Available from: http://dx.doi.org/10.17877/DE290R-14114.

Council of Science Editors:

Voigt T. Threshold optimization and variable construction for classification in the MAGIC and FACT experiments. [Doctoral Dissertation]. Technische Universität Dortmund; 2014. Available from: http://dx.doi.org/10.17877/DE290R-14114

10. 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 April 22, 2021. 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. 22 Apr 2021.

Vancouver:

Barroso JAA. Modelo preditivo para o risco de readmissão hospitalar . [Internet] [Thesis]. Universidade de Aveiro; 2017. [cited 2021 Apr 22]. 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


KTH

11. 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 April 22, 2021. 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. 22 Apr 2021.

Vancouver:

Röhss J. A Statistical Framework for Classification of Tumor Type from microRNA Data. [Internet] [Thesis]. KTH; 2016. [cited 2021 Apr 22]. 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 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/3334

Chicago Manual of Style (16th Edition):

Zhu, Xun. “Identifying important microRNAs in progression of breast cancer.” 2014. Masters Thesis, University of Southern California. Accessed April 22, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/435497/rec/3334.

MLA Handbook (7th Edition):

Zhu, Xun. “Identifying important microRNAs in progression of breast cancer.” 2014. Web. 22 Apr 2021.

Vancouver:

Zhu X. Identifying important microRNAs in progression of breast cancer. [Internet] [Masters thesis]. University of Southern California; 2014. [cited 2021 Apr 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/435497/rec/3334.

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/3334


University of Cambridge

13. 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://doi.org/10.17863/CAM.46479 ; 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 April 22, 2021. https://doi.org/10.17863/CAM.46479 ; 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. 22 Apr 2021.

Vancouver:

Bland MP. Targeting domestic abuse by mining police records. [Internet] [Doctoral dissertation]. University of Cambridge; 2020. [cited 2021 Apr 22]. Available from: https://doi.org/10.17863/CAM.46479 ; 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://doi.org/10.17863/CAM.46479 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793089


University of Montana

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

Degree: MS, 2012, University of Montana

 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). University of Montana. 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, University of Montana. Accessed April 22, 2021. https://scholarworks.umt.edu/etd/199.

MLA Handbook (7th Edition):

Elmore, Nathan J. “CLASSIFYING EMOTION USING STREAMING OF PHYSIOLOGICAL CORRELATES OF EMOTION.” 2012. Web. 22 Apr 2021.

Vancouver:

Elmore NJ. CLASSIFYING EMOTION USING STREAMING OF PHYSIOLOGICAL CORRELATES OF EMOTION. [Internet] [Masters thesis]. University of Montana; 2012. [cited 2021 Apr 22]. 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]. University of Montana; 2012. Available from: https://scholarworks.umt.edu/etd/199


Delft University of Technology

15. Kaandorp, Mikael (author). Machine Learning for Data-Driven RANS Turbulence Modelling.

Degree: 2018, Delft University of Technology

The application of machine learning algorithms as data-driven turbulence modelling tools for Reynolds Averaged Navier-Stokes (RANS) simulations is presented. A novel machine learning algorithm, called… (more)

Subjects/Keywords: machine learning; RANS; Random Forest; Turbulence

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

APA (6th Edition):

Kaandorp, M. (. (2018). Machine Learning for Data-Driven RANS Turbulence Modelling. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f833e151-7c0f-414c-8217-5af783c88474

Chicago Manual of Style (16th Edition):

Kaandorp, Mikael (author). “Machine Learning for Data-Driven RANS Turbulence Modelling.” 2018. Masters Thesis, Delft University of Technology. Accessed April 22, 2021. http://resolver.tudelft.nl/uuid:f833e151-7c0f-414c-8217-5af783c88474.

MLA Handbook (7th Edition):

Kaandorp, Mikael (author). “Machine Learning for Data-Driven RANS Turbulence Modelling.” 2018. Web. 22 Apr 2021.

Vancouver:

Kaandorp M(. Machine Learning for Data-Driven RANS Turbulence Modelling. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 22]. Available from: http://resolver.tudelft.nl/uuid:f833e151-7c0f-414c-8217-5af783c88474.

Council of Science Editors:

Kaandorp M(. Machine Learning for Data-Driven RANS Turbulence Modelling. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:f833e151-7c0f-414c-8217-5af783c88474


Brunel University

16. Zhang, Fan. Music emotion recognition based on feature combination, deep learning and chord detection.

Degree: PhD, 2019, Brunel University

 As one of the most classic human inventions, music appeared in many artworks, such as songs, movies and theatres. It can be seen as another… (more)

Subjects/Keywords: Long-short term memory; Random Forest

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APA (6th Edition):

Zhang, F. (2019). Music emotion recognition based on feature combination, deep learning and chord detection. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/18140 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774573

Chicago Manual of Style (16th Edition):

Zhang, Fan. “Music emotion recognition based on feature combination, deep learning and chord detection.” 2019. Doctoral Dissertation, Brunel University. Accessed April 22, 2021. http://bura.brunel.ac.uk/handle/2438/18140 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774573.

MLA Handbook (7th Edition):

Zhang, Fan. “Music emotion recognition based on feature combination, deep learning and chord detection.” 2019. Web. 22 Apr 2021.

Vancouver:

Zhang F. Music emotion recognition based on feature combination, deep learning and chord detection. [Internet] [Doctoral dissertation]. Brunel University; 2019. [cited 2021 Apr 22]. Available from: http://bura.brunel.ac.uk/handle/2438/18140 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774573.

Council of Science Editors:

Zhang F. Music emotion recognition based on feature combination, deep learning and chord detection. [Doctoral Dissertation]. Brunel University; 2019. Available from: http://bura.brunel.ac.uk/handle/2438/18140 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774573


Penn State University

17. 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://submit-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 April 22, 2021. https://submit-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. 22 Apr 2021.

Vancouver:

Xia Z. HARNESSING THE POWER OF GEOSPATIAL DATA WITH RANDOM FOREST TO FORECAST GYPSY MOTH OUTBREAK. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Apr 22]. Available from: https://submit-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://submit-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

18. Jurák, Martin. Detekce objektů na GPU: Object Detection on GPU.

Degree: 2019, Brno University of Technology

 This thesis is focused on the acceleration of Random Forest object detection in an image. Random Forest detector is an ensemble of independently evaluated random(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. (2019). Detekce objektů na GPU: Object Detection on 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: Object Detection on GPU.” 2019. Thesis, Brno University of Technology. Accessed April 22, 2021. 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: Object Detection on GPU.” 2019. Web. 22 Apr 2021.

Vancouver:

Jurák M. Detekce objektů na GPU: Object Detection on GPU. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 22]. 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: Object Detection on GPU. [Thesis]. Brno University of Technology; 2019. 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

19. Verica, Weverton Rodrigo. Mapeamento semiautomático por meio de padrão espectro-temporal de áreas agrícolas e alvos permanentes com evi/modis no Paraná.

Degree: 2018, Universidade Estadual do Oeste do Paraná; Cascavel; Programa de Pós-Graduação em Engenharia Agrícola; UNIOESTE; Brasil; Centro de Ciências Exatas e Tecnológicas

Submitted by Neusa Fagundes ([email protected]) on 2018-09-06T19:38:50Z No. of bitstreams: 2 Weverton_Verica2018.pdf: 4544186 bytes, checksum: 766200b4dea97433d3d88b08cbe3e548 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)

Made available… (more)

Subjects/Keywords: KDD; Random Forest; Classificação; KDD; Random forest; Classification; CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA

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

APA (6th Edition):

Verica, W. R. (2018). Mapeamento semiautomático por meio de padrão espectro-temporal de áreas agrícolas e alvos permanentes com evi/modis no Paraná. (Masters Thesis). Universidade Estadual do Oeste do Paraná; Cascavel; Programa de Pós-Graduação em Engenharia Agrícola; UNIOESTE; Brasil; Centro de Ciências Exatas e Tecnológicas. Retrieved from http://tede.unioeste.br/handle/tede/3916

Chicago Manual of Style (16th Edition):

Verica, Weverton Rodrigo. “Mapeamento semiautomático por meio de padrão espectro-temporal de áreas agrícolas e alvos permanentes com evi/modis no Paraná.” 2018. Masters Thesis, Universidade Estadual do Oeste do Paraná; Cascavel; Programa de Pós-Graduação em Engenharia Agrícola; UNIOESTE; Brasil; Centro de Ciências Exatas e Tecnológicas. Accessed April 22, 2021. http://tede.unioeste.br/handle/tede/3916.

MLA Handbook (7th Edition):

Verica, Weverton Rodrigo. “Mapeamento semiautomático por meio de padrão espectro-temporal de áreas agrícolas e alvos permanentes com evi/modis no Paraná.” 2018. Web. 22 Apr 2021.

Vancouver:

Verica WR. Mapeamento semiautomático por meio de padrão espectro-temporal de áreas agrícolas e alvos permanentes com evi/modis no Paraná. [Internet] [Masters thesis]. Universidade Estadual do Oeste do Paraná; Cascavel; Programa de Pós-Graduação em Engenharia Agrícola; UNIOESTE; Brasil; Centro de Ciências Exatas e Tecnológicas; 2018. [cited 2021 Apr 22]. Available from: http://tede.unioeste.br/handle/tede/3916.

Council of Science Editors:

Verica WR. Mapeamento semiautomático por meio de padrão espectro-temporal de áreas agrícolas e alvos permanentes com evi/modis no Paraná. [Masters Thesis]. Universidade Estadual do Oeste do Paraná; Cascavel; Programa de Pós-Graduação em Engenharia Agrícola; UNIOESTE; Brasil; Centro de Ciências Exatas e Tecnológicas; 2018. Available from: http://tede.unioeste.br/handle/tede/3916


Delft University of Technology

20. van Schetsen, Anouk (author). Impact of graph-based features on Bitcoin prices.

Degree: 2019, Delft University of Technology

Predicting the trends in Bitcoin market prices is a very challenging task due to the many uncertainties and variables influencing the market value. The market… (more)

Subjects/Keywords: Machine Learning; Random Forest; Bitcoin; random walk; graph analysis

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

APA (6th Edition):

van Schetsen, A. (. (2019). Impact of graph-based features on Bitcoin prices. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:363d443c-64f6-4c35-9671-4092aa334923

Chicago Manual of Style (16th Edition):

van Schetsen, Anouk (author). “Impact of graph-based features on Bitcoin prices.” 2019. Masters Thesis, Delft University of Technology. Accessed April 22, 2021. http://resolver.tudelft.nl/uuid:363d443c-64f6-4c35-9671-4092aa334923.

MLA Handbook (7th Edition):

van Schetsen, Anouk (author). “Impact of graph-based features on Bitcoin prices.” 2019. Web. 22 Apr 2021.

Vancouver:

van Schetsen A(. Impact of graph-based features on Bitcoin prices. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Apr 22]. Available from: http://resolver.tudelft.nl/uuid:363d443c-64f6-4c35-9671-4092aa334923.

Council of Science Editors:

van Schetsen A(. Impact of graph-based features on Bitcoin prices. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:363d443c-64f6-4c35-9671-4092aa334923


University of Edinburgh

21. 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 April 22, 2021. 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. 22 Apr 2021.

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 2021 Apr 22]. 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

22. 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 (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 April 22, 2021. 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. 22 Apr 2021.

Vancouver:

Kuo B. Interpretable representation learning based on Deep Rule Forests. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Apr 22]. 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

23. 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 April 22, 2021. 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. 22 Apr 2021.

Vancouver:

Serna E. Quantifying error in vegetation mapping. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2021 Apr 22]. 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

24. 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 April 22, 2021. 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. 22 Apr 2021.

Vancouver:

Cleaver M. USING RANDOM FOREST MODELING TO PREDICT EARTHWORM DISTRIBUTION IN THE OTTAWA NATIONAL FOREST. [Internet] [Masters thesis]. Michigan Technological University; 2018. [cited 2021 Apr 22]. 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

25. 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 April 22, 2021. 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. 22 Apr 2021.

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 2021 Apr 22]. 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


Brno University of Technology

26. Grolig, Lukáš. Implementace algoritmů založených na rozhodovacích stromech v jazyce C#: Implementation of Algorithms Based on Decision Trees in C#.

Degree: 2020, Brno University of Technology

 This bachelor thesis is focused on selection of data mining algorithms based on decision trees for an analytical system developed under the project System for… (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. (2020). Implementace algoritmů založených na rozhodovacích stromech v jazyce C#: Implementation of Algorithms Based on Decision Trees in C#. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189709

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#: Implementation of Algorithms Based on Decision Trees in C#.” 2020. Thesis, Brno University of Technology. Accessed April 22, 2021. http://hdl.handle.net/11012/189709.

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#: Implementation of Algorithms Based on Decision Trees in C#.” 2020. Web. 22 Apr 2021.

Vancouver:

Grolig L. Implementace algoritmů založených na rozhodovacích stromech v jazyce C#: Implementation of Algorithms Based on Decision Trees in C#. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/11012/189709.

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#: Implementation of Algorithms Based on Decision Trees in C#. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189709

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


University of Helsinki

27. 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 April 22, 2021. http://hdl.handle.net/10138/229702.

MLA Handbook (7th Edition):

Roivainen, Hege. “Document classification based on library catalogue metadata.” 2017. Web. 22 Apr 2021.

Vancouver:

Roivainen H. Document classification based on library catalogue metadata. [Internet] [Masters thesis]. University of Helsinki; 2017. [cited 2021 Apr 22]. 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


Brno University of Technology

28. Grolig, Lukáš. Implementace algoritmů založených na rozhodovacích stromech v jazyce C#: Implementation of Algorithms Based on Decision Trees in C#.

Degree: 2020, Brno University of Technology

 This bachelor thesis is focused on selection of data mining algorithms based on decision trees for an analytical system developed under the project System for… (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. (2020). Implementace algoritmů založených na rozhodovacích stromech v jazyce C#: Implementation of Algorithms Based on Decision Trees in C#. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188334

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#: Implementation of Algorithms Based on Decision Trees in C#.” 2020. Thesis, Brno University of Technology. Accessed April 22, 2021. http://hdl.handle.net/11012/188334.

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#: Implementation of Algorithms Based on Decision Trees in C#.” 2020. Web. 22 Apr 2021.

Vancouver:

Grolig L. Implementace algoritmů založených na rozhodovacích stromech v jazyce C#: Implementation of Algorithms Based on Decision Trees in C#. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/11012/188334.

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#: Implementation of Algorithms Based on Decision Trees in C#. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188334

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

29. 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 April 22, 2021. 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. 22 Apr 2021.

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 2021 Apr 22]. 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


Brno University of Technology

30. Grolig, Lukáš. Implementace algoritmů založených na rozhodovacích stromech v jazyce C#: Implementation of Algorithms Based on Decision Trees in C#.

Degree: 2020, Brno University of Technology

 This bachelor thesis is focused on selection of data mining algorithms based on decision trees for an analytical system developed under the project System for… (more)

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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Grolig, L. (2020). Implementace algoritmů založených na rozhodovacích stromech v jazyce C#: Implementation of Algorithms Based on Decision Trees in 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#: Implementation of Algorithms Based on Decision Trees in C#.” 2020. Thesis, Brno University of Technology. Accessed April 22, 2021. 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#: Implementation of Algorithms Based on Decision Trees in C#.” 2020. Web. 22 Apr 2021.

Vancouver:

Grolig L. Implementace algoritmů založených na rozhodovacích stromech v jazyce C#: Implementation of Algorithms Based on Decision Trees in C#. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 22]. 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#: Implementation of Algorithms Based on Decision Trees in C#. [Thesis]. Brno University of Technology; 2020. 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

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