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You searched for subject:(tree classification). Showing records 1 – 30 of 220 total matches.

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Linnaeus University

1. Carlsson, David. Tree trunk image classifier : Image classification of trees using Collaboratory, Keras and TensorFlow.

Degree: computer science and media technology (CM), 2020, Linnaeus University

  In the forestry industry tree trunks are currently classified manually. The object of this thesis is to answer whether it is possible to automate… (more)

Subjects/Keywords: Barknet; TRUNK12; image classification; tree classification; tree bark classification; tree trunk classification; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Carlsson, D. (2020). Tree trunk image classifier : Image classification of trees using Collaboratory, Keras and TensorFlow. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-98698

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):

Carlsson, David. “Tree trunk image classifier : Image classification of trees using Collaboratory, Keras and TensorFlow.” 2020. Thesis, Linnaeus University. Accessed February 26, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-98698.

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

MLA Handbook (7th Edition):

Carlsson, David. “Tree trunk image classifier : Image classification of trees using Collaboratory, Keras and TensorFlow.” 2020. Web. 26 Feb 2021.

Vancouver:

Carlsson D. Tree trunk image classifier : Image classification of trees using Collaboratory, Keras and TensorFlow. [Internet] [Thesis]. Linnaeus University; 2020. [cited 2021 Feb 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-98698.

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

Council of Science Editors:

Carlsson D. Tree trunk image classifier : Image classification of trees using Collaboratory, Keras and TensorFlow. [Thesis]. Linnaeus University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-98698

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


NSYSU

2. Lin, Yi-chun. Applying Decision Tree to Optimize Online Trading Audit Strategy.

Degree: Master, Finance, 2018, NSYSU

 Development of the internet technology is advancing, and the proportion of online shopping greatly increased. According to the declaration of business tax data by online… (more)

Subjects/Keywords: Online Trading Audit Strategy; Classification and Regression Tree (CART); Decision Tree

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APA (6th Edition):

Lin, Y. (2018). Applying Decision Tree to Optimize Online Trading Audit Strategy. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0610118-235652

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):

Lin, Yi-chun. “Applying Decision Tree to Optimize Online Trading Audit Strategy.” 2018. Thesis, NSYSU. Accessed February 26, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0610118-235652.

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

MLA Handbook (7th Edition):

Lin, Yi-chun. “Applying Decision Tree to Optimize Online Trading Audit Strategy.” 2018. Web. 26 Feb 2021.

Vancouver:

Lin Y. Applying Decision Tree to Optimize Online Trading Audit Strategy. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Feb 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0610118-235652.

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

Council of Science Editors:

Lin Y. Applying Decision Tree to Optimize Online Trading Audit Strategy. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0610118-235652

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


University of Houston

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Amalaman, Paul K 1966-. “New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications.” 2015. Doctoral Dissertation, University of Houston. Accessed February 26, 2021. http://hdl.handle.net/10657/4888.

MLA Handbook (7th Edition):

Amalaman, Paul K 1966-. “New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications.” 2015. Web. 26 Feb 2021.

Vancouver:

Amalaman PK1. New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10657/4888.

Council of Science Editors:

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


Delft University of Technology

4. van Dongen, Kirsten (author). Random Forest Classification of three different species of trees in Delft, based on AHN point clouds: Additional Thesis.

Degree: 2019, Delft University of Technology

 Trees are an important aspect of the world around us, and play a sufficient role in our daily lives. They contribute to human health and… (more)

Subjects/Keywords: AHN; tree classification; laser point data

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APA (6th Edition):

van Dongen, K. (. (2019). Random Forest Classification of three different species of trees in Delft, based on AHN point clouds: Additional Thesis. (Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:70b0b406-b247-4212-8e66-02534935b815

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):

van Dongen, Kirsten (author). “Random Forest Classification of three different species of trees in Delft, based on AHN point clouds: Additional Thesis.” 2019. Thesis, Delft University of Technology. Accessed February 26, 2021. http://resolver.tudelft.nl/uuid:70b0b406-b247-4212-8e66-02534935b815.

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

MLA Handbook (7th Edition):

van Dongen, Kirsten (author). “Random Forest Classification of three different species of trees in Delft, based on AHN point clouds: Additional Thesis.” 2019. Web. 26 Feb 2021.

Vancouver:

van Dongen K(. Random Forest Classification of three different species of trees in Delft, based on AHN point clouds: Additional Thesis. [Internet] [Thesis]. Delft University of Technology; 2019. [cited 2021 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:70b0b406-b247-4212-8e66-02534935b815.

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

Council of Science Editors:

van Dongen K(. Random Forest Classification of three different species of trees in Delft, based on AHN point clouds: Additional Thesis. [Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:70b0b406-b247-4212-8e66-02534935b815

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


Duquesne University

5. Chen, Pu. Classification Tree Models for Predicting Cancer Status.

Degree: MS, Computational Mathematics, 2009, Duquesne University

 Early detection of cancers might improve the clinical outcomes. Multiple biomarkers with a novel LabMAP technology were used as the laboratory method to develop the… (more)

Subjects/Keywords: classification tree; cancer

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APA (6th Edition):

Chen, P. (2009). Classification Tree Models for Predicting Cancer Status. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/397

Chicago Manual of Style (16th Edition):

Chen, Pu. “Classification Tree Models for Predicting Cancer Status.” 2009. Masters Thesis, Duquesne University. Accessed February 26, 2021. https://dsc.duq.edu/etd/397.

MLA Handbook (7th Edition):

Chen, Pu. “Classification Tree Models for Predicting Cancer Status.” 2009. Web. 26 Feb 2021.

Vancouver:

Chen P. Classification Tree Models for Predicting Cancer Status. [Internet] [Masters thesis]. Duquesne University; 2009. [cited 2021 Feb 26]. Available from: https://dsc.duq.edu/etd/397.

Council of Science Editors:

Chen P. Classification Tree Models for Predicting Cancer Status. [Masters Thesis]. Duquesne University; 2009. Available from: https://dsc.duq.edu/etd/397


University of Toronto

6. Adikari, Tharindu. Learning data representations for robust neighbour-based inference.

Degree: 2018, University of Toronto

The recently proposed Boundary Trees algorithm by Mathy et al. (2015) enables fast neighbour-based classification, regression and retrieval in large datasets. While boundary trees use… (more)

Subjects/Keywords: boundary tree; classification; data representations; differentiable boundary tree; MNIST; nearest neighbour; 0800

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APA (6th Edition):

Adikari, T. (2018). Learning data representations for robust neighbour-based inference. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91651

Chicago Manual of Style (16th Edition):

Adikari, Tharindu. “Learning data representations for robust neighbour-based inference.” 2018. Masters Thesis, University of Toronto. Accessed February 26, 2021. http://hdl.handle.net/1807/91651.

MLA Handbook (7th Edition):

Adikari, Tharindu. “Learning data representations for robust neighbour-based inference.” 2018. Web. 26 Feb 2021.

Vancouver:

Adikari T. Learning data representations for robust neighbour-based inference. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1807/91651.

Council of Science Editors:

Adikari T. Learning data representations for robust neighbour-based inference. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91651


Dalhousie University

7. Rendon, Ricardo Andres. A PRE-OPERATIVE PREDICTIVE MODEL FOR THE CLASSIFICATION OF NEWLY DIAGNOSED RENAL MASSES LESS THAN 5 CM IN DIAMETER AS BENIGN OR MALIGNANT.

Degree: MS, Department of Community Health & Epidemiology, 2012, Dalhousie University

 Objective: To develop a predictive model for preoperative differentiation between benign (B) and malignant (M) histology in patients with renal masses (RM) using recursive partitioning.… (more)

Subjects/Keywords: Renal cell carcinoma; Renal mass; prediction; Classification tree

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APA (6th Edition):

Rendon, R. A. (2012). A PRE-OPERATIVE PREDICTIVE MODEL FOR THE CLASSIFICATION OF NEWLY DIAGNOSED RENAL MASSES LESS THAN 5 CM IN DIAMETER AS BENIGN OR MALIGNANT. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/15337

Chicago Manual of Style (16th Edition):

Rendon, Ricardo Andres. “A PRE-OPERATIVE PREDICTIVE MODEL FOR THE CLASSIFICATION OF NEWLY DIAGNOSED RENAL MASSES LESS THAN 5 CM IN DIAMETER AS BENIGN OR MALIGNANT.” 2012. Masters Thesis, Dalhousie University. Accessed February 26, 2021. http://hdl.handle.net/10222/15337.

MLA Handbook (7th Edition):

Rendon, Ricardo Andres. “A PRE-OPERATIVE PREDICTIVE MODEL FOR THE CLASSIFICATION OF NEWLY DIAGNOSED RENAL MASSES LESS THAN 5 CM IN DIAMETER AS BENIGN OR MALIGNANT.” 2012. Web. 26 Feb 2021.

Vancouver:

Rendon RA. A PRE-OPERATIVE PREDICTIVE MODEL FOR THE CLASSIFICATION OF NEWLY DIAGNOSED RENAL MASSES LESS THAN 5 CM IN DIAMETER AS BENIGN OR MALIGNANT. [Internet] [Masters thesis]. Dalhousie University; 2012. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10222/15337.

Council of Science Editors:

Rendon RA. A PRE-OPERATIVE PREDICTIVE MODEL FOR THE CLASSIFICATION OF NEWLY DIAGNOSED RENAL MASSES LESS THAN 5 CM IN DIAMETER AS BENIGN OR MALIGNANT. [Masters Thesis]. Dalhousie University; 2012. Available from: http://hdl.handle.net/10222/15337


Technical University of Lisbon

8. Ameneiro, Alicia Horta. Determinantes geográficos da localização do perímetro das áreas queimadas.

Degree: 2013, Technical University of Lisbon

Mestrado em Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia

Fire is a natural process and a component of many ecosystems; it… (more)

Subjects/Keywords: forest fires; forest management; wildfire boundaries; classification tree

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APA (6th Edition):

Ameneiro, A. H. (2013). Determinantes geográficos da localização do perímetro das áreas queimadas. (Thesis). Technical University of Lisbon. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/5680

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):

Ameneiro, Alicia Horta. “Determinantes geográficos da localização do perímetro das áreas queimadas.” 2013. Thesis, Technical University of Lisbon. Accessed February 26, 2021. https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/5680.

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

MLA Handbook (7th Edition):

Ameneiro, Alicia Horta. “Determinantes geográficos da localização do perímetro das áreas queimadas.” 2013. Web. 26 Feb 2021.

Vancouver:

Ameneiro AH. Determinantes geográficos da localização do perímetro das áreas queimadas. [Internet] [Thesis]. Technical University of Lisbon; 2013. [cited 2021 Feb 26]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/5680.

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

Council of Science Editors:

Ameneiro AH. Determinantes geográficos da localização do perímetro das áreas queimadas. [Thesis]. Technical University of Lisbon; 2013. Available from: https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/5680

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


University of Ghana

9. Anno-Kwakye, R. Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default .

Degree: 2017, University of Ghana

 Bayesian modelling as well as decision tree methods are some of the efficacious classification methods in credit scoring applications. Application of these methods to credit… (more)

Subjects/Keywords: Bayesian Hierarchical Model; Classification; Regression Tree; Loan Default

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APA (6th Edition):

Anno-Kwakye, R. (2017). Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default . (Masters Thesis). University of Ghana. Retrieved from http://ugspace.ug.edu.gh/handle/123456789/23191

Chicago Manual of Style (16th Edition):

Anno-Kwakye, R. “Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default .” 2017. Masters Thesis, University of Ghana. Accessed February 26, 2021. http://ugspace.ug.edu.gh/handle/123456789/23191.

MLA Handbook (7th Edition):

Anno-Kwakye, R. “Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default .” 2017. Web. 26 Feb 2021.

Vancouver:

Anno-Kwakye R. Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default . [Internet] [Masters thesis]. University of Ghana; 2017. [cited 2021 Feb 26]. Available from: http://ugspace.ug.edu.gh/handle/123456789/23191.

Council of Science Editors:

Anno-Kwakye R. Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default . [Masters Thesis]. University of Ghana; 2017. Available from: http://ugspace.ug.edu.gh/handle/123456789/23191


NSYSU

10. Li, Chia-En. Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees.

Degree: PhD, Computer Science and Engineering, 2018, NSYSU

 Knowledge discovery in the database focuses upon methodologies for extracting useful information from collection of data. One of approaches for knowledge discovery is data mining.… (more)

Subjects/Keywords: Periodicity Mining; Knowledge Discovery; Decision Tree; Data Classification; Chi-Square Test

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APA (6th Edition):

Li, C. (2018). Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-172505

Chicago Manual of Style (16th Edition):

Li, Chia-En. “Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees.” 2018. Doctoral Dissertation, NSYSU. Accessed February 26, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-172505.

MLA Handbook (7th Edition):

Li, Chia-En. “Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees.” 2018. Web. 26 Feb 2021.

Vancouver:

Li C. Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees. [Internet] [Doctoral dissertation]. NSYSU; 2018. [cited 2021 Feb 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-172505.

Council of Science Editors:

Li C. Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees. [Doctoral Dissertation]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-172505


University of Otago

11. Webster, Clare. Inter-annual variation in the physiographic controls on catchment-scale snow distribution in the central Southern Alps, New Zealand .

Degree: 2012, University of Otago

 In the South Island of New Zealand, seasonal snow contributes between 10 and 25% of annual runoff. It is therefore important to understand the controls… (more)

Subjects/Keywords: snow distribution; snow accumulation; regression tree modelling; synoptic classification

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APA (6th Edition):

Webster, C. (2012). Inter-annual variation in the physiographic controls on catchment-scale snow distribution in the central Southern Alps, New Zealand . (Masters Thesis). University of Otago. Retrieved from http://hdl.handle.net/10523/2583

Chicago Manual of Style (16th Edition):

Webster, Clare. “Inter-annual variation in the physiographic controls on catchment-scale snow distribution in the central Southern Alps, New Zealand .” 2012. Masters Thesis, University of Otago. Accessed February 26, 2021. http://hdl.handle.net/10523/2583.

MLA Handbook (7th Edition):

Webster, Clare. “Inter-annual variation in the physiographic controls on catchment-scale snow distribution in the central Southern Alps, New Zealand .” 2012. Web. 26 Feb 2021.

Vancouver:

Webster C. Inter-annual variation in the physiographic controls on catchment-scale snow distribution in the central Southern Alps, New Zealand . [Internet] [Masters thesis]. University of Otago; 2012. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10523/2583.

Council of Science Editors:

Webster C. Inter-annual variation in the physiographic controls on catchment-scale snow distribution in the central Southern Alps, New Zealand . [Masters Thesis]. University of Otago; 2012. Available from: http://hdl.handle.net/10523/2583


Universidade Nova

12. Devi, Octaviani. Portfolio rule‐based clustering at automobile insurance in Portugal.

Degree: 2016, Universidade Nova

 Defining pricing strategy is a challenge for every insurance company. Competition makes insurers need to be more careful to adjust the premium since it may… (more)

Subjects/Keywords: Automobile insurance; Rule‐based clustering; K‐means; Clustering; Classification; Decision tree

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

APA (6th Edition):

Devi, O. (2016). Portfolio rule‐based clustering at automobile insurance in Portugal. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/19788

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):

Devi, Octaviani. “Portfolio rule‐based clustering at automobile insurance in Portugal.” 2016. Thesis, Universidade Nova. Accessed February 26, 2021. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/19788.

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

MLA Handbook (7th Edition):

Devi, Octaviani. “Portfolio rule‐based clustering at automobile insurance in Portugal.” 2016. Web. 26 Feb 2021.

Vancouver:

Devi O. Portfolio rule‐based clustering at automobile insurance in Portugal. [Internet] [Thesis]. Universidade Nova; 2016. [cited 2021 Feb 26]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/19788.

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

Council of Science Editors:

Devi O. Portfolio rule‐based clustering at automobile insurance in Portugal. [Thesis]. Universidade Nova; 2016. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/19788

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


University of Illinois – Chicago

13. Sambanis, Apostolis. Critique of Current Social Vulnerability Indices and Opportunities for Improvement.

Degree: 2016, University of Illinois – Chicago

 Between 1980 and 2013, the United States (U.S.) experienced 151 weather related disasters causing approximately 1 billion in overall damages with total costs exceeding 1… (more)

Subjects/Keywords: Social Vulnerability; Resilience; Decision Tree; Classification; Performance Metrics

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APA (6th Edition):

Sambanis, A. (2016). Critique of Current Social Vulnerability Indices and Opportunities for Improvement. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21609

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):

Sambanis, Apostolis. “Critique of Current Social Vulnerability Indices and Opportunities for Improvement.” 2016. Thesis, University of Illinois – Chicago. Accessed February 26, 2021. http://hdl.handle.net/10027/21609.

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

MLA Handbook (7th Edition):

Sambanis, Apostolis. “Critique of Current Social Vulnerability Indices and Opportunities for Improvement.” 2016. Web. 26 Feb 2021.

Vancouver:

Sambanis A. Critique of Current Social Vulnerability Indices and Opportunities for Improvement. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10027/21609.

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

Council of Science Editors:

Sambanis A. Critique of Current Social Vulnerability Indices and Opportunities for Improvement. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/21609

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


George Mason University

14. Roufarshbaf, Hossein. A Tree Search Approach to Detection and Estimation with Application to Communications and Tracking .

Degree: 2011, George Mason University

 We propose complexity efficient tree search approaches to detection and estimation problems, and we consider both communication and target tracking applications in this regard. We… (more)

Subjects/Keywords: Target Tracking; Tree Search; Modulation Classification; Stack Algorithm

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APA (6th Edition):

Roufarshbaf, H. (2011). A Tree Search Approach to Detection and Estimation with Application to Communications and Tracking . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/6584

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):

Roufarshbaf, Hossein. “A Tree Search Approach to Detection and Estimation with Application to Communications and Tracking .” 2011. Thesis, George Mason University. Accessed February 26, 2021. http://hdl.handle.net/1920/6584.

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

MLA Handbook (7th Edition):

Roufarshbaf, Hossein. “A Tree Search Approach to Detection and Estimation with Application to Communications and Tracking .” 2011. Web. 26 Feb 2021.

Vancouver:

Roufarshbaf H. A Tree Search Approach to Detection and Estimation with Application to Communications and Tracking . [Internet] [Thesis]. George Mason University; 2011. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1920/6584.

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

Council of Science Editors:

Roufarshbaf H. A Tree Search Approach to Detection and Estimation with Application to Communications and Tracking . [Thesis]. George Mason University; 2011. Available from: http://hdl.handle.net/1920/6584

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


Iowa State University

15. Xu, Ruo. Improvements to random forest methodology.

Degree: 2013, Iowa State University

 Random forest (RF) is a widely used machine learning method that shows competitive prediction performance in various fields, including biological science, finance, chemical engineering, agroscience,… (more)

Subjects/Keywords: classification; decision tree; machine learning; random forests; regression; Statistics and Probability

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

APA (6th Edition):

Xu, R. (2013). Improvements to random forest methodology. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/13052

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):

Xu, Ruo. “Improvements to random forest methodology.” 2013. Thesis, Iowa State University. Accessed February 26, 2021. https://lib.dr.iastate.edu/etd/13052.

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

MLA Handbook (7th Edition):

Xu, Ruo. “Improvements to random forest methodology.” 2013. Web. 26 Feb 2021.

Vancouver:

Xu R. Improvements to random forest methodology. [Internet] [Thesis]. Iowa State University; 2013. [cited 2021 Feb 26]. Available from: https://lib.dr.iastate.edu/etd/13052.

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

Council of Science Editors:

Xu R. Improvements to random forest methodology. [Thesis]. Iowa State University; 2013. Available from: https://lib.dr.iastate.edu/etd/13052

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

16. Gregory, Tiffany Lynette. Two Methodologies: How Well Can Universities Predict Retention.

Degree: M.S. in Mathematics, Mathematics, 2013, University of Mississippi

 Student retention has been a long standing focus in higher education research with one of the earliest work dating back to 1937. Many researchers have… (more)

Subjects/Keywords: Classification And Regression Tree; Logistic Regression; Retention; Statistics and Probability

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

APA (6th Edition):

Gregory, T. L. (2013). Two Methodologies: How Well Can Universities Predict Retention. (Thesis). University of Mississippi. Retrieved from https://egrove.olemiss.edu/etd/671

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):

Gregory, Tiffany Lynette. “Two Methodologies: How Well Can Universities Predict Retention.” 2013. Thesis, University of Mississippi. Accessed February 26, 2021. https://egrove.olemiss.edu/etd/671.

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

MLA Handbook (7th Edition):

Gregory, Tiffany Lynette. “Two Methodologies: How Well Can Universities Predict Retention.” 2013. Web. 26 Feb 2021.

Vancouver:

Gregory TL. Two Methodologies: How Well Can Universities Predict Retention. [Internet] [Thesis]. University of Mississippi; 2013. [cited 2021 Feb 26]. Available from: https://egrove.olemiss.edu/etd/671.

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

Council of Science Editors:

Gregory TL. Two Methodologies: How Well Can Universities Predict Retention. [Thesis]. University of Mississippi; 2013. Available from: https://egrove.olemiss.edu/etd/671

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


University of Minnesota

17. Jiang, Zhe. Spatial Big Data Analytics: Classification Techniques for Earth Observation Imagery.

Degree: PhD, Computer Science, 2016, University of Minnesota

 Spatial Big Data (SBD), e.g., earth observation imagery, GPS trajectories, temporally detailed road networks, etc., refers to geo-referenced data whose volume, velocity, and variety exceed… (more)

Subjects/Keywords: Earth Image Classification; Spatial Big Data; Spatial Decision Tree; Spatial Ensemble

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

APA (6th Edition):

Jiang, Z. (2016). Spatial Big Data Analytics: Classification Techniques for Earth Observation Imagery. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/191336

Chicago Manual of Style (16th Edition):

Jiang, Zhe. “Spatial Big Data Analytics: Classification Techniques for Earth Observation Imagery.” 2016. Doctoral Dissertation, University of Minnesota. Accessed February 26, 2021. http://hdl.handle.net/11299/191336.

MLA Handbook (7th Edition):

Jiang, Zhe. “Spatial Big Data Analytics: Classification Techniques for Earth Observation Imagery.” 2016. Web. 26 Feb 2021.

Vancouver:

Jiang Z. Spatial Big Data Analytics: Classification Techniques for Earth Observation Imagery. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/11299/191336.

Council of Science Editors:

Jiang Z. Spatial Big Data Analytics: Classification Techniques for Earth Observation Imagery. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/191336


University of Arizona

18. Kidder, Amí Lynne. Ecohydrological Conditions Associated With The Distribution And Phenology Of The Pima Pineapple Cactus .

Degree: 2015, University of Arizona

 Climate changes in temperature and precipitation are already occurring and are projected to further exhibit increasing temperature and precipitation extremes and increasing variation. Such increased… (more)

Subjects/Keywords: endangered species; phenology; spatial distribution; classification tree; Natural Resources

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

APA (6th Edition):

Kidder, A. L. (2015). Ecohydrological Conditions Associated With The Distribution And Phenology Of The Pima Pineapple Cactus . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/347323

Chicago Manual of Style (16th Edition):

Kidder, Amí Lynne. “Ecohydrological Conditions Associated With The Distribution And Phenology Of The Pima Pineapple Cactus .” 2015. Masters Thesis, University of Arizona. Accessed February 26, 2021. http://hdl.handle.net/10150/347323.

MLA Handbook (7th Edition):

Kidder, Amí Lynne. “Ecohydrological Conditions Associated With The Distribution And Phenology Of The Pima Pineapple Cactus .” 2015. Web. 26 Feb 2021.

Vancouver:

Kidder AL. Ecohydrological Conditions Associated With The Distribution And Phenology Of The Pima Pineapple Cactus . [Internet] [Masters thesis]. University of Arizona; 2015. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10150/347323.

Council of Science Editors:

Kidder AL. Ecohydrological Conditions Associated With The Distribution And Phenology Of The Pima Pineapple Cactus . [Masters Thesis]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/347323


University of Waterloo

19. Liao, Renfang. Using Penalized Linear Discriminant Analysis and Normalized Difference Indices Derived from Landsat 8 Images to Classify Fruit-tree Crops in the Aconcagua Valley, Chile.

Degree: 2016, University of Waterloo

 Accurate crop type maps are critical for yield estimation and agricultural practices in modern agriculture. A new approach is proposed in this thesis to improve… (more)

Subjects/Keywords: Fruit-tree classification; Spectral indices; LDA; Lasso; Ridge; Landsat-8

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

APA (6th Edition):

Liao, R. (2016). Using Penalized Linear Discriminant Analysis and Normalized Difference Indices Derived from Landsat 8 Images to Classify Fruit-tree Crops in the Aconcagua Valley, Chile. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10521

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):

Liao, Renfang. “Using Penalized Linear Discriminant Analysis and Normalized Difference Indices Derived from Landsat 8 Images to Classify Fruit-tree Crops in the Aconcagua Valley, Chile.” 2016. Thesis, University of Waterloo. Accessed February 26, 2021. http://hdl.handle.net/10012/10521.

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

MLA Handbook (7th Edition):

Liao, Renfang. “Using Penalized Linear Discriminant Analysis and Normalized Difference Indices Derived from Landsat 8 Images to Classify Fruit-tree Crops in the Aconcagua Valley, Chile.” 2016. Web. 26 Feb 2021.

Vancouver:

Liao R. Using Penalized Linear Discriminant Analysis and Normalized Difference Indices Derived from Landsat 8 Images to Classify Fruit-tree Crops in the Aconcagua Valley, Chile. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10012/10521.

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

Council of Science Editors:

Liao R. Using Penalized Linear Discriminant Analysis and Normalized Difference Indices Derived from Landsat 8 Images to Classify Fruit-tree Crops in the Aconcagua Valley, Chile. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10521

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


Delft University of Technology

20. de Groot, Rob (author). Automatic construction of 3D tree models in multiple levels of detail from airborne LiDAR data.

Degree: 2020, Delft University of Technology

Automatically generated 3D city models are becoming less of a futuristic, demanding or even impossible to attain goal, and more of a necessary, or vastly… (more)

Subjects/Keywords: Classification; Segmentation; Modelling; Trees; Vegetation; LiDAR; Tree models

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

APA (6th Edition):

de Groot, R. (. (2020). Automatic construction of 3D tree models in multiple levels of detail from airborne LiDAR data. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3e169fc7-5336-4742-ab9b-18c158637cfe

Chicago Manual of Style (16th Edition):

de Groot, Rob (author). “Automatic construction of 3D tree models in multiple levels of detail from airborne LiDAR data.” 2020. Masters Thesis, Delft University of Technology. Accessed February 26, 2021. http://resolver.tudelft.nl/uuid:3e169fc7-5336-4742-ab9b-18c158637cfe.

MLA Handbook (7th Edition):

de Groot, Rob (author). “Automatic construction of 3D tree models in multiple levels of detail from airborne LiDAR data.” 2020. Web. 26 Feb 2021.

Vancouver:

de Groot R(. Automatic construction of 3D tree models in multiple levels of detail from airborne LiDAR data. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:3e169fc7-5336-4742-ab9b-18c158637cfe.

Council of Science Editors:

de Groot R(. Automatic construction of 3D tree models in multiple levels of detail from airborne LiDAR data. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:3e169fc7-5336-4742-ab9b-18c158637cfe


University of Alberta

21. Komeili, Amin. Adolescent Idiopathic Scoliosis: Classifying, Assessing, and Monitoring using Surface Topography Asymmetry Analysis.

Degree: PhD, Department of Civil and Environmental Engineering, 2014, University of Alberta

 The radiation dose and the associated lifetime risk of developing cancer is a problem justifying the use of surface topography (ST) as an alternative to… (more)

Subjects/Keywords: Asymmetry Analysis; Adolescent Idiopathic Scoliosis; Monitoring; Classification Tree Analysis; Surface Topography; Classification

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

APA (6th Edition):

Komeili, A. (2014). Adolescent Idiopathic Scoliosis: Classifying, Assessing, and Monitoring using Surface Topography Asymmetry Analysis. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/k3569471g

Chicago Manual of Style (16th Edition):

Komeili, Amin. “Adolescent Idiopathic Scoliosis: Classifying, Assessing, and Monitoring using Surface Topography Asymmetry Analysis.” 2014. Doctoral Dissertation, University of Alberta. Accessed February 26, 2021. https://era.library.ualberta.ca/files/k3569471g.

MLA Handbook (7th Edition):

Komeili, Amin. “Adolescent Idiopathic Scoliosis: Classifying, Assessing, and Monitoring using Surface Topography Asymmetry Analysis.” 2014. Web. 26 Feb 2021.

Vancouver:

Komeili A. Adolescent Idiopathic Scoliosis: Classifying, Assessing, and Monitoring using Surface Topography Asymmetry Analysis. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2021 Feb 26]. Available from: https://era.library.ualberta.ca/files/k3569471g.

Council of Science Editors:

Komeili A. Adolescent Idiopathic Scoliosis: Classifying, Assessing, and Monitoring using Surface Topography Asymmetry Analysis. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/k3569471g


Penn State University

22. Zenaldin, Matthew. CHARACTERIZATION AND CLASSIFICATION OF HUMAN ACTIVITY IN DIFFERENT ENVIRONMENTS USING RADAR MICRO-DOPPLER SIGNATURES.

Degree: 2016, Penn State University

 This thesis presents the results of our experimental investigation into how different environments impact the classification of human motion using radar micro-Doppler (MD) signatures. The… (more)

Subjects/Keywords: micro doppler; human gait; through wall radar; foliage clutter; needle tree; pine tree; svm classification; human activity classification; time frequency analysis; spectrogram; doppler radar

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

APA (6th Edition):

Zenaldin, M. (2016). CHARACTERIZATION AND CLASSIFICATION OF HUMAN ACTIVITY IN DIFFERENT ENVIRONMENTS USING RADAR MICRO-DOPPLER SIGNATURES. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/wp988j80x

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):

Zenaldin, Matthew. “CHARACTERIZATION AND CLASSIFICATION OF HUMAN ACTIVITY IN DIFFERENT ENVIRONMENTS USING RADAR MICRO-DOPPLER SIGNATURES.” 2016. Thesis, Penn State University. Accessed February 26, 2021. https://submit-etda.libraries.psu.edu/catalog/wp988j80x.

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

MLA Handbook (7th Edition):

Zenaldin, Matthew. “CHARACTERIZATION AND CLASSIFICATION OF HUMAN ACTIVITY IN DIFFERENT ENVIRONMENTS USING RADAR MICRO-DOPPLER SIGNATURES.” 2016. Web. 26 Feb 2021.

Vancouver:

Zenaldin M. CHARACTERIZATION AND CLASSIFICATION OF HUMAN ACTIVITY IN DIFFERENT ENVIRONMENTS USING RADAR MICRO-DOPPLER SIGNATURES. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Feb 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/wp988j80x.

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

Council of Science Editors:

Zenaldin M. CHARACTERIZATION AND CLASSIFICATION OF HUMAN ACTIVITY IN DIFFERENT ENVIRONMENTS USING RADAR MICRO-DOPPLER SIGNATURES. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/wp988j80x

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


NSYSU

23. Chen, Jin-Ping. Modified Multi-Valued Neuron with Periodic Tolerant Activation Function.

Degree: Master, Electrical Engineering, 2013, NSYSU

 Multi-valued Neuron with Periodic activation function (MVN-P) was proposed by Aizenberg for solving classification problems. The boundaries between two distinct categories are crisply specified in… (more)

Subjects/Keywords: fuzzy sets; genetic algorithms; tree structure; Complex-valued neuron; pattern classification; activation function

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

APA (6th Edition):

Chen, J. (2013). Modified Multi-Valued Neuron with Periodic Tolerant Activation Function. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-150024

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):

Chen, Jin-Ping. “Modified Multi-Valued Neuron with Periodic Tolerant Activation Function.” 2013. Thesis, NSYSU. Accessed February 26, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-150024.

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

MLA Handbook (7th Edition):

Chen, Jin-Ping. “Modified Multi-Valued Neuron with Periodic Tolerant Activation Function.” 2013. Web. 26 Feb 2021.

Vancouver:

Chen J. Modified Multi-Valued Neuron with Periodic Tolerant Activation Function. [Internet] [Thesis]. NSYSU; 2013. [cited 2021 Feb 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-150024.

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

Council of Science Editors:

Chen J. Modified Multi-Valued Neuron with Periodic Tolerant Activation Function. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-150024

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


NSYSU

24. Yeh, Cheng-hao. Real-time Vehicle Color Identification for Surveillance Videos.

Degree: Master, Electrical Engineering, 2014, NSYSU

 Vehicles are one of the main detection targets of the traffic and security video surveillance system. In this thesis, we propose an automatic vehicle color… (more)

Subjects/Keywords: Expectation-Maximization Algorithm; support vector machine; Gaussian Mixture Model; tree structure; vehicle color classification

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

APA (6th Edition):

Yeh, C. (2014). Real-time Vehicle Color Identification for Surveillance Videos. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802114-154919

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):

Yeh, Cheng-hao. “Real-time Vehicle Color Identification for Surveillance Videos.” 2014. Thesis, NSYSU. Accessed February 26, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802114-154919.

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

MLA Handbook (7th Edition):

Yeh, Cheng-hao. “Real-time Vehicle Color Identification for Surveillance Videos.” 2014. Web. 26 Feb 2021.

Vancouver:

Yeh C. Real-time Vehicle Color Identification for Surveillance Videos. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Feb 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802114-154919.

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

Council of Science Editors:

Yeh C. Real-time Vehicle Color Identification for Surveillance Videos. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802114-154919

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


NSYSU

25. Ke, Sheng-Jhe. A Classification Model with Data Analysis for Improving Collaborative Filtering: An Experimental Study on Epinions.com.

Degree: Master, Information Management, 2015, NSYSU

 Collaborative Filtering is one of the most popular methods to implement recommender systems. It can predict usersâ ratings to generate personalized product recommendations based on… (more)

Subjects/Keywords: recommender system; user similarity; collaborative filtering; trust metric; decision tree; classification; trust propagation

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

APA (6th Edition):

Ke, S. (2015). A Classification Model with Data Analysis for Improving Collaborative Filtering: An Experimental Study on Epinions.com. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726115-133439

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):

Ke, Sheng-Jhe. “A Classification Model with Data Analysis for Improving Collaborative Filtering: An Experimental Study on Epinions.com.” 2015. Thesis, NSYSU. Accessed February 26, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726115-133439.

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

MLA Handbook (7th Edition):

Ke, Sheng-Jhe. “A Classification Model with Data Analysis for Improving Collaborative Filtering: An Experimental Study on Epinions.com.” 2015. Web. 26 Feb 2021.

Vancouver:

Ke S. A Classification Model with Data Analysis for Improving Collaborative Filtering: An Experimental Study on Epinions.com. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Feb 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726115-133439.

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

Council of Science Editors:

Ke S. A Classification Model with Data Analysis for Improving Collaborative Filtering: An Experimental Study on Epinions.com. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726115-133439

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


NSYSU

26. Guo, Jia-Liang. Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models.

Degree: Master, Information Management, 2017, NSYSU

 To predict or to explain? With the dramatical growth of the volume of information generated from various information systems, data science has become popular and… (more)

Subjects/Keywords: Process discovery; Classification Tree Hidden Semi-Markov Model; HSMM; Rule-Integrated trees; Random forest

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

APA (6th Edition):

Guo, J. (2017). Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614117-091652

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):

Guo, Jia-Liang. “Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models.” 2017. Thesis, NSYSU. Accessed February 26, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614117-091652.

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

MLA Handbook (7th Edition):

Guo, Jia-Liang. “Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models.” 2017. Web. 26 Feb 2021.

Vancouver:

Guo J. Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Feb 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614117-091652.

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

Council of Science Editors:

Guo J. Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614117-091652

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


Mississippi State University

27. Carney, Joelle. USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA.

Degree: MS, Forestry, 2009, Mississippi State University

 This study evaluated habitat parameters for the red-cockaded woodpecker (RCW; Picoides borealis) on three tracts in Hoke County, North Carolina. Multi-spectral imagery was used to… (more)

Subjects/Keywords: object oriented classification; tree finding model

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APA (6th Edition):

Carney, J. (2009). USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-05042009-112050/ ;

Chicago Manual of Style (16th Edition):

Carney, Joelle. “USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA.” 2009. Masters Thesis, Mississippi State University. Accessed February 26, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-05042009-112050/ ;.

MLA Handbook (7th Edition):

Carney, Joelle. “USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA.” 2009. Web. 26 Feb 2021.

Vancouver:

Carney J. USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA. [Internet] [Masters thesis]. Mississippi State University; 2009. [cited 2021 Feb 26]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05042009-112050/ ;.

Council of Science Editors:

Carney J. USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA. [Masters Thesis]. Mississippi State University; 2009. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05042009-112050/ ;


Universidade do Rio Grande do Norte

28. Andrade, Priscilla Valessa de Castro. O que há por trás das diferenças individuais? Perfis comportamentais e fisiológicos em Betta splendens .

Degree: 2017, Universidade do Rio Grande do Norte

 According to environmental changes, the individuals show different strategies to coping with the varied external stimuli. The different responders comprise the different phenotypes that compose… (more)

Subjects/Keywords: Perfil comportamental; Cortisol; Testosterona; Peixe de briga; Aprendizagem; Random forest; Classification tree

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APA (6th Edition):

Andrade, P. V. d. C. (2017). O que há por trás das diferenças individuais? Perfis comportamentais e fisiológicos em Betta splendens . (Masters Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/23842

Chicago Manual of Style (16th Edition):

Andrade, Priscilla Valessa de Castro. “O que há por trás das diferenças individuais? Perfis comportamentais e fisiológicos em Betta splendens .” 2017. Masters Thesis, Universidade do Rio Grande do Norte. Accessed February 26, 2021. http://repositorio.ufrn.br/handle/123456789/23842.

MLA Handbook (7th Edition):

Andrade, Priscilla Valessa de Castro. “O que há por trás das diferenças individuais? Perfis comportamentais e fisiológicos em Betta splendens .” 2017. Web. 26 Feb 2021.

Vancouver:

Andrade PVdC. O que há por trás das diferenças individuais? Perfis comportamentais e fisiológicos em Betta splendens . [Internet] [Masters thesis]. Universidade do Rio Grande do Norte; 2017. [cited 2021 Feb 26]. Available from: http://repositorio.ufrn.br/handle/123456789/23842.

Council of Science Editors:

Andrade PVdC. O que há por trás das diferenças individuais? Perfis comportamentais e fisiológicos em Betta splendens . [Masters Thesis]. Universidade do Rio Grande do Norte; 2017. Available from: http://repositorio.ufrn.br/handle/123456789/23842


Uppsala University

29. Löwe, Rakel. Automatic Differential Diagnosis Model of Patients with Parkinsonian Syndrome : A model using multiple linear regression and classification tree learning.

Degree: Applied Nuclear Physics, 2020, Uppsala University

  Parkinsonian syndrome is an umbrella term including several diseases with similar symptoms. PET images are key when differential diagnosing patients with parkinsonsian syndrome. In… (more)

Subjects/Keywords: PET; Parkinsonism; Parkinsonian syndrome; multilinear regression; classification tree; Engineering and Technology; Teknik och teknologier

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

APA (6th Edition):

Löwe, R. (2020). Automatic Differential Diagnosis Model of Patients with Parkinsonian Syndrome : A model using multiple linear regression and classification tree learning. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413638

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):

Löwe, Rakel. “Automatic Differential Diagnosis Model of Patients with Parkinsonian Syndrome : A model using multiple linear regression and classification tree learning.” 2020. Thesis, Uppsala University. Accessed February 26, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413638.

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

MLA Handbook (7th Edition):

Löwe, Rakel. “Automatic Differential Diagnosis Model of Patients with Parkinsonian Syndrome : A model using multiple linear regression and classification tree learning.” 2020. Web. 26 Feb 2021.

Vancouver:

Löwe R. Automatic Differential Diagnosis Model of Patients with Parkinsonian Syndrome : A model using multiple linear regression and classification tree learning. [Internet] [Thesis]. Uppsala University; 2020. [cited 2021 Feb 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413638.

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

Council of Science Editors:

Löwe R. Automatic Differential Diagnosis Model of Patients with Parkinsonian Syndrome : A model using multiple linear regression and classification tree learning. [Thesis]. Uppsala University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413638

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


University of Wisconsin – Milwaukee

30. Ghiasvand, Omid. Unsupervised Biomedical Named Entity Recognition.

Degree: PhD, Biomedical and Health Informatics, 2017, University of Wisconsin – Milwaukee

  Named entity recognition (NER) from text is an important task for several applications, including in the biomedical domain. Supervised machine learning based systems have… (more)

Subjects/Keywords: Classification; Decision Tree; Named Entity Recognition; Natural Language Processing; Text Mining; Unsupervised; Bioinformatics; Computer Sciences

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

APA (6th Edition):

Ghiasvand, O. (2017). Unsupervised Biomedical Named Entity Recognition. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1621

Chicago Manual of Style (16th Edition):

Ghiasvand, Omid. “Unsupervised Biomedical Named Entity Recognition.” 2017. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed February 26, 2021. https://dc.uwm.edu/etd/1621.

MLA Handbook (7th Edition):

Ghiasvand, Omid. “Unsupervised Biomedical Named Entity Recognition.” 2017. Web. 26 Feb 2021.

Vancouver:

Ghiasvand O. Unsupervised Biomedical Named Entity Recognition. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2017. [cited 2021 Feb 26]. Available from: https://dc.uwm.edu/etd/1621.

Council of Science Editors:

Ghiasvand O. Unsupervised Biomedical Named Entity Recognition. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2017. Available from: https://dc.uwm.edu/etd/1621

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