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You searched for subject:(classification algorithm). Showing records 1 – 30 of 251 total matches.

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California State University – Sacramento

1. Bhinge, Akshay Vishwanath. A comparative study on data mining tools.

Degree: MS, Computer Science, 2015, California State University – Sacramento

 In a data mining course such as CSc 177 (Data Warehouse and Data Mining) at California State University, Sacramento, the students need to work on… (more)

Subjects/Keywords: Classification algorithm; Clustering algorithms

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APA (6th Edition):

Bhinge, A. V. (2015). A comparative study on data mining tools. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/158470

Chicago Manual of Style (16th Edition):

Bhinge, Akshay Vishwanath. “A comparative study on data mining tools.” 2015. Masters Thesis, California State University – Sacramento. Accessed October 23, 2020. http://hdl.handle.net/10211.3/158470.

MLA Handbook (7th Edition):

Bhinge, Akshay Vishwanath. “A comparative study on data mining tools.” 2015. Web. 23 Oct 2020.

Vancouver:

Bhinge AV. A comparative study on data mining tools. [Internet] [Masters thesis]. California State University – Sacramento; 2015. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10211.3/158470.

Council of Science Editors:

Bhinge AV. A comparative study on data mining tools. [Masters Thesis]. California State University – Sacramento; 2015. Available from: http://hdl.handle.net/10211.3/158470


NSYSU

2. Chen, Ming-cheng. A GA-Fuzzy-Based Voting Mechanism for Microarray Data Classification.

Degree: Master, Computer Science and Engineering, 2008, NSYSU

 The microarray technology plays an important role of clinical oncology field. The patient can be diagnosed a symptom about cancer through microarray data. Currently, to… (more)

Subjects/Keywords: Microarray Data Classification; Genetic Algorithm; Fuzzy Theory

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APA (6th Edition):

Chen, M. (2008). A GA-Fuzzy-Based Voting Mechanism for Microarray Data Classification. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0930108-105834

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, Ming-cheng. “A GA-Fuzzy-Based Voting Mechanism for Microarray Data Classification.” 2008. Thesis, NSYSU. Accessed October 23, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0930108-105834.

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

MLA Handbook (7th Edition):

Chen, Ming-cheng. “A GA-Fuzzy-Based Voting Mechanism for Microarray Data Classification.” 2008. Web. 23 Oct 2020.

Vancouver:

Chen M. A GA-Fuzzy-Based Voting Mechanism for Microarray Data Classification. [Internet] [Thesis]. NSYSU; 2008. [cited 2020 Oct 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0930108-105834.

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

Council of Science Editors:

Chen M. A GA-Fuzzy-Based Voting Mechanism for Microarray Data Classification. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0930108-105834

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


Robert Gordon University

3. Bashir, Sulaimon A. Change detection for activity recognition.

Degree: PhD, 2017, Robert Gordon University

 Activity Recognition is concerned with identifying the physical state of a user at a particular point in time. Activity recognition task requires the training of… (more)

Subjects/Keywords: Activity recognition; Change detection; Classification algorithm; Sensors

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

APA (6th Edition):

Bashir, S. A. (2017). Change detection for activity recognition. (Doctoral Dissertation). Robert Gordon University. Retrieved from https://rgu-repository.worktribe.com/output/248955 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758171

Chicago Manual of Style (16th Edition):

Bashir, Sulaimon A. “Change detection for activity recognition.” 2017. Doctoral Dissertation, Robert Gordon University. Accessed October 23, 2020. https://rgu-repository.worktribe.com/output/248955 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758171.

MLA Handbook (7th Edition):

Bashir, Sulaimon A. “Change detection for activity recognition.” 2017. Web. 23 Oct 2020.

Vancouver:

Bashir SA. Change detection for activity recognition. [Internet] [Doctoral dissertation]. Robert Gordon University; 2017. [cited 2020 Oct 23]. Available from: https://rgu-repository.worktribe.com/output/248955 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758171.

Council of Science Editors:

Bashir SA. Change detection for activity recognition. [Doctoral Dissertation]. Robert Gordon University; 2017. Available from: https://rgu-repository.worktribe.com/output/248955 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758171


University of Missouri – Columbia

4. Kanawong, Ratchadaporn. Computer-aided tongue image diagnosis and analysis.

Degree: 2012, University of Missouri – Columbia

 This work focuses on computer-aided tongue image analysis, specifically, as it relates to Traditional Chinese Medicine (TCM). Computerized tongue diagnosis aid medical practitioners capture quantitative… (more)

Subjects/Keywords: diagnostic imaging; image segmentation algorithm; ZHENG classification

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

APA (6th Edition):

Kanawong, R. (2012). Computer-aided tongue image diagnosis and analysis. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/35187

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):

Kanawong, Ratchadaporn. “Computer-aided tongue image diagnosis and analysis.” 2012. Thesis, University of Missouri – Columbia. Accessed October 23, 2020. http://hdl.handle.net/10355/35187.

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

MLA Handbook (7th Edition):

Kanawong, Ratchadaporn. “Computer-aided tongue image diagnosis and analysis.” 2012. Web. 23 Oct 2020.

Vancouver:

Kanawong R. Computer-aided tongue image diagnosis and analysis. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10355/35187.

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

Council of Science Editors:

Kanawong R. Computer-aided tongue image diagnosis and analysis. [Thesis]. University of Missouri – Columbia; 2012. Available from: http://hdl.handle.net/10355/35187

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


Brno University of Technology

5. Faron, Jan. Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks.

Degree: 2018, Brno University of Technology

 This bachelor’s thesis deals with packet classification in computer networks. In the introduction it describes some areas where packet classification is used. Then, necessary theoretical… (more)

Subjects/Keywords: klasifikace paketů; efficuts; klasifikační algoritmus; packet classification; efficuts; classification algorithm

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

APA (6th Edition):

Faron, J. (2018). Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54953

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):

Faron, Jan. “Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks.” 2018. Thesis, Brno University of Technology. Accessed October 23, 2020. http://hdl.handle.net/11012/54953.

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

MLA Handbook (7th Edition):

Faron, Jan. “Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks.” 2018. Web. 23 Oct 2020.

Vancouver:

Faron J. Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/11012/54953.

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

Council of Science Editors:

Faron J. Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/54953

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


Brno University of Technology

6. Myška, Michal. Algoritmy pro klasifikaci paketů: Packet Classification Algorithms.

Degree: 2019, Brno University of Technology

 This bachelor's thesis deals with packet classification in computer networks. The theory describing a computer network and approach to the classification is explained in the… (more)

Subjects/Keywords: Klasifikace paketů; filtrování paketů; HiCuts; klasifikační algoritmus; Packet classification; packet filters; HiCuts; classification algorithm

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

APA (6th Edition):

Myška, M. (2019). Algoritmy pro klasifikaci paketů: Packet Classification Algorithms. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55116

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):

Myška, Michal. “Algoritmy pro klasifikaci paketů: Packet Classification Algorithms.” 2019. Thesis, Brno University of Technology. Accessed October 23, 2020. http://hdl.handle.net/11012/55116.

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

MLA Handbook (7th Edition):

Myška, Michal. “Algoritmy pro klasifikaci paketů: Packet Classification Algorithms.” 2019. Web. 23 Oct 2020.

Vancouver:

Myška M. Algoritmy pro klasifikaci paketů: Packet Classification Algorithms. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/11012/55116.

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

Council of Science Editors:

Myška M. Algoritmy pro klasifikaci paketů: Packet Classification Algorithms. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55116

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

7. Le Maout, Paul. Analyse de l'air exhalé par des matrices de capteurs nanocomposites : le nez électronique pour l'aide au diagnostic. Application aux insuffisances rénales : Analysis of exhaled air by nanocomposite sensor arrays : he electronic nose for diagnosis support. Application to chronic kidney disease.

Degree: Docteur es, Electronique, 2019, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire

Les insuffisances rénales chroniques touchent près de trois millions de personnes en France, dont 70 000 à un stade terminal nécessitant une greffe ou plusieurs… (more)

Subjects/Keywords: Nez électronique; Diagnostic; Capteurs; Algorithme de classification; Electronic Nose; Diagnosis; Sensors; Classification algorithm; 620

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

APA (6th Edition):

Le Maout, P. (2019). Analyse de l'air exhalé par des matrices de capteurs nanocomposites : le nez électronique pour l'aide au diagnostic. Application aux insuffisances rénales : Analysis of exhaled air by nanocomposite sensor arrays : he electronic nose for diagnosis support. Application to chronic kidney disease. (Doctoral Dissertation). Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire. Retrieved from http://www.theses.fr/2019IMTA0170

Chicago Manual of Style (16th Edition):

Le Maout, Paul. “Analyse de l'air exhalé par des matrices de capteurs nanocomposites : le nez électronique pour l'aide au diagnostic. Application aux insuffisances rénales : Analysis of exhaled air by nanocomposite sensor arrays : he electronic nose for diagnosis support. Application to chronic kidney disease.” 2019. Doctoral Dissertation, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire. Accessed October 23, 2020. http://www.theses.fr/2019IMTA0170.

MLA Handbook (7th Edition):

Le Maout, Paul. “Analyse de l'air exhalé par des matrices de capteurs nanocomposites : le nez électronique pour l'aide au diagnostic. Application aux insuffisances rénales : Analysis of exhaled air by nanocomposite sensor arrays : he electronic nose for diagnosis support. Application to chronic kidney disease.” 2019. Web. 23 Oct 2020.

Vancouver:

Le Maout P. Analyse de l'air exhalé par des matrices de capteurs nanocomposites : le nez électronique pour l'aide au diagnostic. Application aux insuffisances rénales : Analysis of exhaled air by nanocomposite sensor arrays : he electronic nose for diagnosis support. Application to chronic kidney disease. [Internet] [Doctoral dissertation]. Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire; 2019. [cited 2020 Oct 23]. Available from: http://www.theses.fr/2019IMTA0170.

Council of Science Editors:

Le Maout P. Analyse de l'air exhalé par des matrices de capteurs nanocomposites : le nez électronique pour l'aide au diagnostic. Application aux insuffisances rénales : Analysis of exhaled air by nanocomposite sensor arrays : he electronic nose for diagnosis support. Application to chronic kidney disease. [Doctoral Dissertation]. Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire; 2019. Available from: http://www.theses.fr/2019IMTA0170


Texas A&M University

8. Huang, Bolun. Sentiment-based Classification of Tweeters and University Programs.

Degree: MS, Computer Engineering, 2014, Texas A&M University

 The rapidly growing World WideWeb (WWW) is no longer a passive information provider. Nowadays, Internet users themselves have become contributors to the WWW. A lot… (more)

Subjects/Keywords: Sentiment; Classification; Twitter; University Ranking; Algorithm; hiring graph

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APA (6th Edition):

Huang, B. (2014). Sentiment-based Classification of Tweeters and University Programs. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153569

Chicago Manual of Style (16th Edition):

Huang, Bolun. “Sentiment-based Classification of Tweeters and University Programs.” 2014. Masters Thesis, Texas A&M University. Accessed October 23, 2020. http://hdl.handle.net/1969.1/153569.

MLA Handbook (7th Edition):

Huang, Bolun. “Sentiment-based Classification of Tweeters and University Programs.” 2014. Web. 23 Oct 2020.

Vancouver:

Huang B. Sentiment-based Classification of Tweeters and University Programs. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1969.1/153569.

Council of Science Editors:

Huang B. Sentiment-based Classification of Tweeters and University Programs. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153569


University of Guelph

9. ELmahgiubi, Mohammed. An Efficient Framework for Automatic Algorithm Selection using Meta-Learning.

Degree: Master of Applied Science, School of Engineering, 2016, University of Guelph

 With the unprecedented growth of Information and communication technology (ICT) industry, core networking devices become highly stringent elements of the network due to the increase… (more)

Subjects/Keywords: Machine Learning; Meta-Learning; Algorithm Selection; Packet Classification

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APA (6th Edition):

ELmahgiubi, M. (2016). An Efficient Framework for Automatic Algorithm Selection using Meta-Learning. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9972

Chicago Manual of Style (16th Edition):

ELmahgiubi, Mohammed. “An Efficient Framework for Automatic Algorithm Selection using Meta-Learning.” 2016. Masters Thesis, University of Guelph. Accessed October 23, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9972.

MLA Handbook (7th Edition):

ELmahgiubi, Mohammed. “An Efficient Framework for Automatic Algorithm Selection using Meta-Learning.” 2016. Web. 23 Oct 2020.

Vancouver:

ELmahgiubi M. An Efficient Framework for Automatic Algorithm Selection using Meta-Learning. [Internet] [Masters thesis]. University of Guelph; 2016. [cited 2020 Oct 23]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9972.

Council of Science Editors:

ELmahgiubi M. An Efficient Framework for Automatic Algorithm Selection using Meta-Learning. [Masters Thesis]. University of Guelph; 2016. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9972


Univerzitet u Beogradu

10. Jeftić, Branislava D., 1981-. Algoritam za određivanje biofizičkog stanja epitelnog tkiva na bazi spektroskopije.

Degree: Mašinski fakultet, 2018, Univerzitet u Beogradu

Oblast tehničkih nauka, Mašinstvo - Biomedicinsko inženjerstvo / Mechanical Engineering - Biomedical Engineering

Savremeni dijagnostički testovi koji se koriste u kliničkoj praksi imaju neosporan uticaj… (more)

Subjects/Keywords: Optomagnetic Spectroscopy; algorithm; cervical cancer; classification; screening; automated detection

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APA (6th Edition):

Jeftić, Branislava D., 1. (2018). Algoritam za određivanje biofizičkog stanja epitelnog tkiva na bazi spektroskopije. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:17656/bdef:Content/get

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):

Jeftić, Branislava D., 1981-. “Algoritam za određivanje biofizičkog stanja epitelnog tkiva na bazi spektroskopije.” 2018. Thesis, Univerzitet u Beogradu. Accessed October 23, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:17656/bdef:Content/get.

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

MLA Handbook (7th Edition):

Jeftić, Branislava D., 1981-. “Algoritam za određivanje biofizičkog stanja epitelnog tkiva na bazi spektroskopije.” 2018. Web. 23 Oct 2020.

Vancouver:

Jeftić, Branislava D. 1. Algoritam za određivanje biofizičkog stanja epitelnog tkiva na bazi spektroskopije. [Internet] [Thesis]. Univerzitet u Beogradu; 2018. [cited 2020 Oct 23]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:17656/bdef:Content/get.

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

Council of Science Editors:

Jeftić, Branislava D. 1. Algoritam za određivanje biofizičkog stanja epitelnog tkiva na bazi spektroskopije. [Thesis]. Univerzitet u Beogradu; 2018. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:17656/bdef:Content/get

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


Brunel University

11. Al-Shammaa, Mohammed. Granular computing approach for intelligent classifier design.

Degree: PhD, 2016, Brunel University

 Granular computing facilitates dealing with information by providing a theoretical framework to deal with information as granules at different levels of granularity (different levels of… (more)

Subjects/Keywords: 006.3; Data clustering; Neural networks; Fuzzy systems; Genetic algorithm; Binary classification

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

APA (6th Edition):

Al-Shammaa, M. (2016). Granular computing approach for intelligent classifier design. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/13686 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699317

Chicago Manual of Style (16th Edition):

Al-Shammaa, Mohammed. “Granular computing approach for intelligent classifier design.” 2016. Doctoral Dissertation, Brunel University. Accessed October 23, 2020. http://bura.brunel.ac.uk/handle/2438/13686 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699317.

MLA Handbook (7th Edition):

Al-Shammaa, Mohammed. “Granular computing approach for intelligent classifier design.” 2016. Web. 23 Oct 2020.

Vancouver:

Al-Shammaa M. Granular computing approach for intelligent classifier design. [Internet] [Doctoral dissertation]. Brunel University; 2016. [cited 2020 Oct 23]. Available from: http://bura.brunel.ac.uk/handle/2438/13686 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699317.

Council of Science Editors:

Al-Shammaa M. Granular computing approach for intelligent classifier design. [Doctoral Dissertation]. Brunel University; 2016. Available from: http://bura.brunel.ac.uk/handle/2438/13686 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699317


George Mason University

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

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 October 23, 2020. 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. 23 Oct 2020.

Vancouver:

Roufarshbaf H. A Tree Search Approach to Detection and Estimation with Application to Communications and Tracking . [Internet] [Thesis]. George Mason University; 2011. [cited 2020 Oct 23]. 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


Brno University of Technology

13. Puš, Viktor. Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology.

Degree: 2019, Brno University of Technology

 This diploma thesis deals with packet classification in computer networks. The problem of packet classification is described, together with requirements for classification algorithm. Then, necessary… (more)

Subjects/Keywords: Klasifikace paketů; algoritmus; hardware; Packet classification; algorithm; hardware

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

APA (6th Edition):

Puš, V. (2019). Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53252

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):

Puš, Viktor. “Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology.” 2019. Thesis, Brno University of Technology. Accessed October 23, 2020. http://hdl.handle.net/11012/53252.

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

MLA Handbook (7th Edition):

Puš, Viktor. “Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology.” 2019. Web. 23 Oct 2020.

Vancouver:

Puš V. Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/11012/53252.

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

Council of Science Editors:

Puš V. Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53252

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


Delft University of Technology

14. van der Zwaag, Anne-Sea (author). Electrical Impedance Tomography applications for the preterm neonate.

Degree: 2019, Delft University of Technology

Data analysis for electrical impedance tomography (EIT) research requires manual selection of sequences with a normal breathing pattern. This procedure is lengthy and the lack… (more)

Subjects/Keywords: electrical impedance tomography; Neonatology; data classification; Algorithm Design

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

APA (6th Edition):

van der Zwaag, A. (. (2019). Electrical Impedance Tomography applications for the preterm neonate. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ea60c14e-fda3-418b-b422-c2adb40d54bc

Chicago Manual of Style (16th Edition):

van der Zwaag, Anne-Sea (author). “Electrical Impedance Tomography applications for the preterm neonate.” 2019. Masters Thesis, Delft University of Technology. Accessed October 23, 2020. http://resolver.tudelft.nl/uuid:ea60c14e-fda3-418b-b422-c2adb40d54bc.

MLA Handbook (7th Edition):

van der Zwaag, Anne-Sea (author). “Electrical Impedance Tomography applications for the preterm neonate.” 2019. Web. 23 Oct 2020.

Vancouver:

van der Zwaag A(. Electrical Impedance Tomography applications for the preterm neonate. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:ea60c14e-fda3-418b-b422-c2adb40d54bc.

Council of Science Editors:

van der Zwaag A(. Electrical Impedance Tomography applications for the preterm neonate. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:ea60c14e-fda3-418b-b422-c2adb40d54bc


Clemson University

15. Jiang, Hao. Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks.

Degree: PhD, Computer Science, 2012, Clemson University

 Wireless sensor networks are composed of large numbers of resource-lean sensors that collect low-level inputs from the physical world. The applications present challenges for programmers.… (more)

Subjects/Keywords: Algorithm; Classification; Sensor Network; Simulation; Tracking; Computer Sciences

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

APA (6th Edition):

Jiang, H. (2012). Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/993

Chicago Manual of Style (16th Edition):

Jiang, Hao. “Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks.” 2012. Doctoral Dissertation, Clemson University. Accessed October 23, 2020. https://tigerprints.clemson.edu/all_dissertations/993.

MLA Handbook (7th Edition):

Jiang, Hao. “Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks.” 2012. Web. 23 Oct 2020.

Vancouver:

Jiang H. Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2020 Oct 23]. Available from: https://tigerprints.clemson.edu/all_dissertations/993.

Council of Science Editors:

Jiang H. Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/993


University of Georgia

16. Vahid, Sara. Feature selection in medical domains.

Degree: 2018, University of Georgia

 Usually datasets in the medical domain contain so many features while not all these features are useful for training the classifier. This research aims to… (more)

Subjects/Keywords: Feature Selection; Machine Learning; Classification Algorithm; Medical Domain

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

APA (6th Edition):

Vahid, S. (2018). Feature selection in medical domains. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37204

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):

Vahid, Sara. “Feature selection in medical domains.” 2018. Thesis, University of Georgia. Accessed October 23, 2020. http://hdl.handle.net/10724/37204.

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

MLA Handbook (7th Edition):

Vahid, Sara. “Feature selection in medical domains.” 2018. Web. 23 Oct 2020.

Vancouver:

Vahid S. Feature selection in medical domains. [Internet] [Thesis]. University of Georgia; 2018. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10724/37204.

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

Council of Science Editors:

Vahid S. Feature selection in medical domains. [Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/37204

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


University of Georgia

17. Vahid, Sara. Feature selection in medical domains.

Degree: 2018, University of Georgia

 Usually datasets in the medical domain contain so many features while not all these features are useful for training the classifier. This research aims to… (more)

Subjects/Keywords: Feature Selection; Machine Learning; Classification Algorithm; Medical Domain

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

APA (6th Edition):

Vahid, S. (2018). Feature selection in medical domains. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37047

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):

Vahid, Sara. “Feature selection in medical domains.” 2018. Thesis, University of Georgia. Accessed October 23, 2020. http://hdl.handle.net/10724/37047.

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

MLA Handbook (7th Edition):

Vahid, Sara. “Feature selection in medical domains.” 2018. Web. 23 Oct 2020.

Vancouver:

Vahid S. Feature selection in medical domains. [Internet] [Thesis]. University of Georgia; 2018. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10724/37047.

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

Council of Science Editors:

Vahid S. Feature selection in medical domains. [Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/37047

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

18. Kaski, Petteri. Algorithms for Classification of Combinatorial Objects.

Degree: 2005, Helsinki University of Technology

A recurrently occurring problem in combinatorics is the need to completely characterize a finite set of finite objects implicitly defined by a set of constraints.… (more)

Subjects/Keywords: classification algorithm; isomorphism; isomorph rejection; near-resolvable design; one-factorization; orderly algorithm; regular graph; resolvable design; Steiner triple system

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

APA (6th Edition):

Kaski, P. (2005). Algorithms for Classification of Combinatorial Objects. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2005/isbn9512277271/

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):

Kaski, Petteri. “Algorithms for Classification of Combinatorial Objects.” 2005. Thesis, Helsinki University of Technology. Accessed October 23, 2020. http://lib.tkk.fi/Diss/2005/isbn9512277271/.

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

MLA Handbook (7th Edition):

Kaski, Petteri. “Algorithms for Classification of Combinatorial Objects.” 2005. Web. 23 Oct 2020.

Vancouver:

Kaski P. Algorithms for Classification of Combinatorial Objects. [Internet] [Thesis]. Helsinki University of Technology; 2005. [cited 2020 Oct 23]. Available from: http://lib.tkk.fi/Diss/2005/isbn9512277271/.

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

Council of Science Editors:

Kaski P. Algorithms for Classification of Combinatorial Objects. [Thesis]. Helsinki University of Technology; 2005. Available from: http://lib.tkk.fi/Diss/2005/isbn9512277271/

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


Anna University

19. Indira priya P. Intelligent temporal mining Techniques for social network Analysis;.

Degree: Intelligent temporal mining Techniques for social network Analysis, 2015, Anna University

In this thesis a new intelligent temporal mining system has been newlineproposed and implemented to perform effective social network analysis For newlinethis purpose two new… (more)

Subjects/Keywords: Adaptive Neuro Fuzzy Inference System; Hybrid Clustering Based Classification Algorithm; Neuro Genetic Weighted Fuzzy C Means Clustering Algorithm

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

APA (6th Edition):

P, I. p. (2015). Intelligent temporal mining Techniques for social network Analysis;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/38948

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):

P, Indira priya. “Intelligent temporal mining Techniques for social network Analysis;.” 2015. Thesis, Anna University. Accessed October 23, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/38948.

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

MLA Handbook (7th Edition):

P, Indira priya. “Intelligent temporal mining Techniques for social network Analysis;.” 2015. Web. 23 Oct 2020.

Vancouver:

P Ip. Intelligent temporal mining Techniques for social network Analysis;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Oct 23]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38948.

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

Council of Science Editors:

P Ip. Intelligent temporal mining Techniques for social network Analysis;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38948

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


Univerzitet u Beogradu

20. Slavković, Nikola, 1969-, 54625289. Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture.

Degree: Elektrotehnički fakultet, 2020, Univerzitet u Beogradu

Telekomunikacije -Veštačka inteligencija / Telecommunications - Artificial intelligence

U ovoj disertaciji razvijen je algoritam za predikciju rizika proklizavanja vozila, čime je omogućeno mapiranje rizičnih zona… (more)

Subjects/Keywords: surface texture; image processing; feature extraction; temperature; classification algorithm; risk analysis; prediction algorithm; autonomous driving; road safety

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APA (6th Edition):

Slavković, Nikola, 1969-, 5. (2020). Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:22310/bdef:Content/get

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):

Slavković, Nikola, 1969-, 54625289. “Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture.” 2020. Thesis, Univerzitet u Beogradu. Accessed October 23, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:22310/bdef:Content/get.

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

MLA Handbook (7th Edition):

Slavković, Nikola, 1969-, 54625289. “Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture.” 2020. Web. 23 Oct 2020.

Vancouver:

Slavković, Nikola, 1969- 5. Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture. [Internet] [Thesis]. Univerzitet u Beogradu; 2020. [cited 2020 Oct 23]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:22310/bdef:Content/get.

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

Council of Science Editors:

Slavković, Nikola, 1969- 5. Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture. [Thesis]. Univerzitet u Beogradu; 2020. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:22310/bdef:Content/get

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


Anna University

21. Senthamarai Kannan, S. Improving clustering and classification performance through effective attribute selection; -.

Degree: Information and Communication Engineering, 2014, Anna University

This thesis proposes several novel attribute selection methods for enhancing the performance of Classification and Clustering Algorithms A novel variant of Relief Algorithm namely ReliefS… (more)

Subjects/Keywords: Information and Communication Engineering; Classification algorithm; Clustering; Clustering algorithm; Effective attribute selection; Information and communication engineering; Memetic algorithm; Micro array data analysis

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

APA (6th Edition):

Senthamarai Kannan, S. (2014). Improving clustering and classification performance through effective attribute selection; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/27370

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):

Senthamarai Kannan, S. “Improving clustering and classification performance through effective attribute selection; -.” 2014. Thesis, Anna University. Accessed October 23, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/27370.

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

MLA Handbook (7th Edition):

Senthamarai Kannan, S. “Improving clustering and classification performance through effective attribute selection; -.” 2014. Web. 23 Oct 2020.

Vancouver:

Senthamarai Kannan S. Improving clustering and classification performance through effective attribute selection; -. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Oct 23]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27370.

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

Council of Science Editors:

Senthamarai Kannan S. Improving clustering and classification performance through effective attribute selection; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27370

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


University of Technology, Sydney

22. Pan, S. Complex graph stream mining.

Degree: 2015, University of Technology, Sydney

 Recent years have witnessed a dramatic increase of information due to the ever development of modern technologies. The large scale of information makes data analysis,… (more)

Subjects/Keywords: Data mining.; Knowledge discovery tasks.; Social networks.; Correlated Graph Stream Mining.; Graph Stream Classifications.; Complex Task Graph Classification.; CGStream algorithm.; gLSU algorithm.; CogBoost algorithm.

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

APA (6th Edition):

Pan, S. (2015). Complex graph stream mining. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/38989

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):

Pan, S. “Complex graph stream mining.” 2015. Thesis, University of Technology, Sydney. Accessed October 23, 2020. http://hdl.handle.net/10453/38989.

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

MLA Handbook (7th Edition):

Pan, S. “Complex graph stream mining.” 2015. Web. 23 Oct 2020.

Vancouver:

Pan S. Complex graph stream mining. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10453/38989.

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

Council of Science Editors:

Pan S. Complex graph stream mining. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/38989

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


University of Cincinnati

23. DESAI, PRANAY A. SEQUENCE CLASSIFICATION USING HIDDEN MARKOV MODELS.

Degree: MS, Engineering : Computer Science, 2005, University of Cincinnati

 The field of Bio-Informatics is fast growing with research in various related topics. One such topic is protein sequence classification. This thesis uses this topic… (more)

Subjects/Keywords: HMM; Hidden Markov Models; Sequence Classification; Viterbi Algorithm; Forward Algorithm; Backward Algorithm

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

APA (6th Edition):

DESAI, P. A. (2005). SEQUENCE CLASSIFICATION USING HIDDEN MARKOV MODELS. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1116250500

Chicago Manual of Style (16th Edition):

DESAI, PRANAY A. “SEQUENCE CLASSIFICATION USING HIDDEN MARKOV MODELS.” 2005. Masters Thesis, University of Cincinnati. Accessed October 23, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1116250500.

MLA Handbook (7th Edition):

DESAI, PRANAY A. “SEQUENCE CLASSIFICATION USING HIDDEN MARKOV MODELS.” 2005. Web. 23 Oct 2020.

Vancouver:

DESAI PA. SEQUENCE CLASSIFICATION USING HIDDEN MARKOV MODELS. [Internet] [Masters thesis]. University of Cincinnati; 2005. [cited 2020 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1116250500.

Council of Science Editors:

DESAI PA. SEQUENCE CLASSIFICATION USING HIDDEN MARKOV MODELS. [Masters Thesis]. University of Cincinnati; 2005. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1116250500


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 October 23, 2020. 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. 23 Oct 2020.

Vancouver:

Yeh C. Real-time Vehicle Color Identification for Surveillance Videos. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Oct 23]. 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


University of California – Riverside

25. Hui, Jianan. Methods in Markov Chain Monte Carlo and Spatiotemporal Data Analysis.

Degree: Applied Statistics, 2017, University of California – Riverside

 Markov chain Monte Carlo (MCMC) methods are highly desirable when the sampling distribution is intractable. Among all MCMC methods, the fundamental one is the Metropolis-Hastings… (more)

Subjects/Keywords: Statistics; Bayesian Modeling; Classification; Markov Chain Monte Carlo; Metropolis-Hastings algorithm; Spatiotemporal data

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

APA (6th Edition):

Hui, J. (2017). Methods in Markov Chain Monte Carlo and Spatiotemporal Data Analysis. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/7xc997np

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):

Hui, Jianan. “Methods in Markov Chain Monte Carlo and Spatiotemporal Data Analysis.” 2017. Thesis, University of California – Riverside. Accessed October 23, 2020. http://www.escholarship.org/uc/item/7xc997np.

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

MLA Handbook (7th Edition):

Hui, Jianan. “Methods in Markov Chain Monte Carlo and Spatiotemporal Data Analysis.” 2017. Web. 23 Oct 2020.

Vancouver:

Hui J. Methods in Markov Chain Monte Carlo and Spatiotemporal Data Analysis. [Internet] [Thesis]. University of California – Riverside; 2017. [cited 2020 Oct 23]. Available from: http://www.escholarship.org/uc/item/7xc997np.

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

Council of Science Editors:

Hui J. Methods in Markov Chain Monte Carlo and Spatiotemporal Data Analysis. [Thesis]. University of California – Riverside; 2017. Available from: http://www.escholarship.org/uc/item/7xc997np

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


Penn State University

26. Lin, Chu-Fang. Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling .

Degree: 2011, Penn State University

 This dissertation presents novel generative semisupervised mixtures with more fine-grained class label generation mechanisms than in previous semisupervised learning works. The proposed fine-grained models combine… (more)

Subjects/Keywords: nearest neighbor classification; mixture models; inductive inference; generative models; semisupervised learning; Expectation- Maximization algorithm

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

APA (6th Edition):

Lin, C. (2011). Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12029

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, Chu-Fang. “Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling .” 2011. Thesis, Penn State University. Accessed October 23, 2020. https://submit-etda.libraries.psu.edu/catalog/12029.

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

MLA Handbook (7th Edition):

Lin, Chu-Fang. “Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling .” 2011. Web. 23 Oct 2020.

Vancouver:

Lin C. Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Oct 23]. Available from: https://submit-etda.libraries.psu.edu/catalog/12029.

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

Council of Science Editors:

Lin C. Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12029

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


Universidade Nova

27. Mestre, Ricardo Jorge Palheira. Improvements on the KNN classifier.

Degree: 2013, Universidade Nova

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

The object classification is an important area within the artificial intelligence and its application extends… (more)

Subjects/Keywords: Artificial intelligence; Classification algorithms; KNN; K-nearest neighbor algorithm; Lazy-learning; Eager-learning

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APA (6th Edition):

Mestre, R. J. P. (2013). Improvements on the KNN classifier. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10923

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):

Mestre, Ricardo Jorge Palheira. “Improvements on the KNN classifier.” 2013. Thesis, Universidade Nova. Accessed October 23, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10923.

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

MLA Handbook (7th Edition):

Mestre, Ricardo Jorge Palheira. “Improvements on the KNN classifier.” 2013. Web. 23 Oct 2020.

Vancouver:

Mestre RJP. Improvements on the KNN classifier. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2020 Oct 23]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10923.

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

Council of Science Editors:

Mestre RJP. Improvements on the KNN classifier. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10923

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


Vytautas Magnus University

28. Gelažnikas, Giedrius. Elektroninių dokumentų kategorizavimas spaudos monitoringo uždaviniuose.

Degree: Master, Informatics, 2009, Vytautas Magnus University

Magistrinio darbo tikslas yra sukurti lietuvių kalbai pritaikytą elektroninių dokumentų kategorizavimo sistemą. Tokia sistema yra gana svarbi spaudos monitoringo sistemos dalis. Pirmame darbo skyriuje yra… (more)

Subjects/Keywords: Spaudos monitoringas; Dokumentų kategorizavimas; Tf-idf algoritmas; Press monitoring; Document classification; Tf-idf algorithm

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

APA (6th Edition):

Gelažnikas, Giedrius. (2009). Elektroninių dokumentų kategorizavimas spaudos monitoringo uždaviniuose. (Masters Thesis). Vytautas Magnus University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2009~D_20090811_101149-44803 ;

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

Chicago Manual of Style (16th Edition):

Gelažnikas, Giedrius. “Elektroninių dokumentų kategorizavimas spaudos monitoringo uždaviniuose.” 2009. Masters Thesis, Vytautas Magnus University. Accessed October 23, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2009~D_20090811_101149-44803 ;.

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

MLA Handbook (7th Edition):

Gelažnikas, Giedrius. “Elektroninių dokumentų kategorizavimas spaudos monitoringo uždaviniuose.” 2009. Web. 23 Oct 2020.

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

Vancouver:

Gelažnikas, Giedrius. Elektroninių dokumentų kategorizavimas spaudos monitoringo uždaviniuose. [Internet] [Masters thesis]. Vytautas Magnus University; 2009. [cited 2020 Oct 23]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2009~D_20090811_101149-44803 ;.

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

Council of Science Editors:

Gelažnikas, Giedrius. Elektroninių dokumentų kategorizavimas spaudos monitoringo uždaviniuose. [Masters Thesis]. Vytautas Magnus University; 2009. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2009~D_20090811_101149-44803 ;

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


University of Miami

29. Jankulak, Michael L. Prediction of Rapid Intensity Changes in Tropical Cyclones Using Associative Classification.

Degree: MS, Electrical and Computer Engineering (Engineering), 2012, University of Miami

  Accurate forecasting of Tropical Cyclone (TC) track and intensity are vital for safeguarding the lives and property of communities in regions that are subject(more)

Subjects/Keywords: data mining; associative classification; rare events prediction; Apriori algorithm; tropical cyclone intensity; rapid intensification

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

APA (6th Edition):

Jankulak, M. L. (2012). Prediction of Rapid Intensity Changes in Tropical Cyclones Using Associative Classification. (Thesis). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_theses/364

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):

Jankulak, Michael L. “Prediction of Rapid Intensity Changes in Tropical Cyclones Using Associative Classification.” 2012. Thesis, University of Miami. Accessed October 23, 2020. https://scholarlyrepository.miami.edu/oa_theses/364.

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

MLA Handbook (7th Edition):

Jankulak, Michael L. “Prediction of Rapid Intensity Changes in Tropical Cyclones Using Associative Classification.” 2012. Web. 23 Oct 2020.

Vancouver:

Jankulak ML. Prediction of Rapid Intensity Changes in Tropical Cyclones Using Associative Classification. [Internet] [Thesis]. University of Miami; 2012. [cited 2020 Oct 23]. Available from: https://scholarlyrepository.miami.edu/oa_theses/364.

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

Council of Science Editors:

Jankulak ML. Prediction of Rapid Intensity Changes in Tropical Cyclones Using Associative Classification. [Thesis]. University of Miami; 2012. Available from: https://scholarlyrepository.miami.edu/oa_theses/364

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

30. Masmoudi, Nesrine. Modèle bio-inspiré pour le clustering de graphes : application à la fouille de données et à la distribution de simulations : Bio-inspired models for clustering graphs : applications for data mining and distribution of simulations.

Degree: Docteur es, Informatique, 2017, Normandie; Université de Sfax (Tunisie)

Dans ce travail de thèse, nous présentons une méthode originale s’inspirant des comportements des fourmis réelles pour la résolution de problème de classification non supervisée… (more)

Subjects/Keywords: Algorithmes biomimétiques; Classification; Data mining; Biomimetic algorithm; Artificial ants; Swarm intelligence; Clustering

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

APA (6th Edition):

Masmoudi, N. (2017). Modèle bio-inspiré pour le clustering de graphes : application à la fouille de données et à la distribution de simulations : Bio-inspired models for clustering graphs : applications for data mining and distribution of simulations. (Doctoral Dissertation). Normandie; Université de Sfax (Tunisie). Retrieved from http://www.theses.fr/2017NORMLH26

Chicago Manual of Style (16th Edition):

Masmoudi, Nesrine. “Modèle bio-inspiré pour le clustering de graphes : application à la fouille de données et à la distribution de simulations : Bio-inspired models for clustering graphs : applications for data mining and distribution of simulations.” 2017. Doctoral Dissertation, Normandie; Université de Sfax (Tunisie). Accessed October 23, 2020. http://www.theses.fr/2017NORMLH26.

MLA Handbook (7th Edition):

Masmoudi, Nesrine. “Modèle bio-inspiré pour le clustering de graphes : application à la fouille de données et à la distribution de simulations : Bio-inspired models for clustering graphs : applications for data mining and distribution of simulations.” 2017. Web. 23 Oct 2020.

Vancouver:

Masmoudi N. Modèle bio-inspiré pour le clustering de graphes : application à la fouille de données et à la distribution de simulations : Bio-inspired models for clustering graphs : applications for data mining and distribution of simulations. [Internet] [Doctoral dissertation]. Normandie; Université de Sfax (Tunisie); 2017. [cited 2020 Oct 23]. Available from: http://www.theses.fr/2017NORMLH26.

Council of Science Editors:

Masmoudi N. Modèle bio-inspiré pour le clustering de graphes : application à la fouille de données et à la distribution de simulations : Bio-inspired models for clustering graphs : applications for data mining and distribution of simulations. [Doctoral Dissertation]. Normandie; Université de Sfax (Tunisie); 2017. Available from: http://www.theses.fr/2017NORMLH26

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