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You searched for subject:(Information classification). Showing records 1 – 30 of 1076 total matches.

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Florida State University

1. Mechtley, Alisha. Utilities for Off-Target DNA Mining in Non-Model Organisms and Querying for Phylogenetic Patterns.

Degree: PhD, Scientific Computing, 2018, Florida State University

High throughput sequencing data are rich in information and contain many off-target sequences (reads) that are often ignored but may be biologically relevant. Seed extension,… (more)

Subjects/Keywords: Bioinformatics; Biology; Classification; Information science

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

APA (6th Edition):

Mechtley, A. (2018). Utilities for Off-Target DNA Mining in Non-Model Organisms and Querying for Phylogenetic Patterns. (Doctoral Dissertation). Florida State University. Retrieved from http://purl.flvc.org/fsu/fd/2018_Sp_Mechtley_fsu_0071E_14520_comp ;

Chicago Manual of Style (16th Edition):

Mechtley, Alisha. “Utilities for Off-Target DNA Mining in Non-Model Organisms and Querying for Phylogenetic Patterns.” 2018. Doctoral Dissertation, Florida State University. Accessed October 23, 2019. http://purl.flvc.org/fsu/fd/2018_Sp_Mechtley_fsu_0071E_14520_comp ;.

MLA Handbook (7th Edition):

Mechtley, Alisha. “Utilities for Off-Target DNA Mining in Non-Model Organisms and Querying for Phylogenetic Patterns.” 2018. Web. 23 Oct 2019.

Vancouver:

Mechtley A. Utilities for Off-Target DNA Mining in Non-Model Organisms and Querying for Phylogenetic Patterns. [Internet] [Doctoral dissertation]. Florida State University; 2018. [cited 2019 Oct 23]. Available from: http://purl.flvc.org/fsu/fd/2018_Sp_Mechtley_fsu_0071E_14520_comp ;.

Council of Science Editors:

Mechtley A. Utilities for Off-Target DNA Mining in Non-Model Organisms and Querying for Phylogenetic Patterns. [Doctoral Dissertation]. Florida State University; 2018. Available from: http://purl.flvc.org/fsu/fd/2018_Sp_Mechtley_fsu_0071E_14520_comp ;


Drexel University

2. Aryafar, Kamelia. Multimodal Information Retrieval and Classification.

Degree: 2015, Drexel University

Classification optimizations are the corner stone of machine learning models. The main goal of classifiers is to utilize all available data modalities in training to… (more)

Subjects/Keywords: Computer science; Classification; Information retrieval

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APA (6th Edition):

Aryafar, K. (2015). Multimodal Information Retrieval and Classification. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:6609

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):

Aryafar, Kamelia. “Multimodal Information Retrieval and Classification.” 2015. Thesis, Drexel University. Accessed October 23, 2019. http://hdl.handle.net/1860/idea:6609.

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

MLA Handbook (7th Edition):

Aryafar, Kamelia. “Multimodal Information Retrieval and Classification.” 2015. Web. 23 Oct 2019.

Vancouver:

Aryafar K. Multimodal Information Retrieval and Classification. [Internet] [Thesis]. Drexel University; 2015. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1860/idea:6609.

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

Council of Science Editors:

Aryafar K. Multimodal Information Retrieval and Classification. [Thesis]. Drexel University; 2015. Available from: http://hdl.handle.net/1860/idea:6609

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


Cornell University

3. Kelly, Benjamin. Information Theory With Large Alphabets And Source Coding Error Exponents .

Degree: 2011, Cornell University

 The early twenty-first century has been referred to as the 'information age'; this appears to be an apt name given the massive amounts of data… (more)

Subjects/Keywords: Information Theory; Hypothesis Testing; Classification; Error Exponents

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APA (6th Edition):

Kelly, B. (2011). Information Theory With Large Alphabets And Source Coding Error Exponents . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/30614

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):

Kelly, Benjamin. “Information Theory With Large Alphabets And Source Coding Error Exponents .” 2011. Thesis, Cornell University. Accessed October 23, 2019. http://hdl.handle.net/1813/30614.

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

MLA Handbook (7th Edition):

Kelly, Benjamin. “Information Theory With Large Alphabets And Source Coding Error Exponents .” 2011. Web. 23 Oct 2019.

Vancouver:

Kelly B. Information Theory With Large Alphabets And Source Coding Error Exponents . [Internet] [Thesis]. Cornell University; 2011. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1813/30614.

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

Council of Science Editors:

Kelly B. Information Theory With Large Alphabets And Source Coding Error Exponents . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/30614

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


Princeton University

4. Hepler-Smith, Evan. Nominally Rational: Systematic Nomenclature and the Structure of Organic Chemistry, 1889-1940 .

Degree: PhD, 2016, Princeton University

 This dissertation addresses the emergence of an approach to naming chemical compounds that became a pivotal instrument for the representation of chemicals, the development of… (more)

Subjects/Keywords: Chemistry; Classification; Information; IUPAC; Nomenclature; Organic Chemistry

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APA (6th Edition):

Hepler-Smith, E. (2016). Nominally Rational: Systematic Nomenclature and the Structure of Organic Chemistry, 1889-1940 . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01kw52jb54w

Chicago Manual of Style (16th Edition):

Hepler-Smith, Evan. “Nominally Rational: Systematic Nomenclature and the Structure of Organic Chemistry, 1889-1940 .” 2016. Doctoral Dissertation, Princeton University. Accessed October 23, 2019. http://arks.princeton.edu/ark:/88435/dsp01kw52jb54w.

MLA Handbook (7th Edition):

Hepler-Smith, Evan. “Nominally Rational: Systematic Nomenclature and the Structure of Organic Chemistry, 1889-1940 .” 2016. Web. 23 Oct 2019.

Vancouver:

Hepler-Smith E. Nominally Rational: Systematic Nomenclature and the Structure of Organic Chemistry, 1889-1940 . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2019 Oct 23]. Available from: http://arks.princeton.edu/ark:/88435/dsp01kw52jb54w.

Council of Science Editors:

Hepler-Smith E. Nominally Rational: Systematic Nomenclature and the Structure of Organic Chemistry, 1889-1940 . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp01kw52jb54w


Penn State University

5. Song, Yang. Machine Learning for Text Mining: Classification, Retrieval and Recommendation.

Degree: PhD, Computer Science and Engineering, 2008, Penn State University

 We all witnessed the information explosion of the World Wide Web which has brought us with continuously rapid growth of information and data. However, as… (more)

Subjects/Keywords: classification; machine learning; text classification; information retrieval; clustering; recommendation

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

APA (6th Edition):

Song, Y. (2008). Machine Learning for Text Mining: Classification, Retrieval and Recommendation. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9176

Chicago Manual of Style (16th Edition):

Song, Yang. “Machine Learning for Text Mining: Classification, Retrieval and Recommendation.” 2008. Doctoral Dissertation, Penn State University. Accessed October 23, 2019. https://etda.libraries.psu.edu/catalog/9176.

MLA Handbook (7th Edition):

Song, Yang. “Machine Learning for Text Mining: Classification, Retrieval and Recommendation.” 2008. Web. 23 Oct 2019.

Vancouver:

Song Y. Machine Learning for Text Mining: Classification, Retrieval and Recommendation. [Internet] [Doctoral dissertation]. Penn State University; 2008. [cited 2019 Oct 23]. Available from: https://etda.libraries.psu.edu/catalog/9176.

Council of Science Editors:

Song Y. Machine Learning for Text Mining: Classification, Retrieval and Recommendation. [Doctoral Dissertation]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/9176


Universidade Nova

6. Almeida, Hugo Ricardo da Costa. Automatic cymbal classification.

Degree: 2010, Universidade Nova

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Informática

Most of… (more)

Subjects/Keywords: Automatic classification; Cymbal classification; Music classification; Music information retrieval (MIR); Drum kit; Cymbals

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APA (6th Edition):

Almeida, H. R. d. C. (2010). Automatic cymbal classification. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4923

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):

Almeida, Hugo Ricardo da Costa. “Automatic cymbal classification.” 2010. Thesis, Universidade Nova. Accessed October 23, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4923.

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

MLA Handbook (7th Edition):

Almeida, Hugo Ricardo da Costa. “Automatic cymbal classification.” 2010. Web. 23 Oct 2019.

Vancouver:

Almeida HRdC. Automatic cymbal classification. [Internet] [Thesis]. Universidade Nova; 2010. [cited 2019 Oct 23]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4923.

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

Council of Science Editors:

Almeida HRdC. Automatic cymbal classification. [Thesis]. Universidade Nova; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4923

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

7. Renata Lourenço Mendes. Sistemas de organização e representação do conhecimento: uma reflexão sobre o uso do código de classificação de documentos de arquivo da Fiocruz.

Degree: 2012, Universidade Federal do Rio de Janeiro / Instituto Brasileiro de Informação em Ciência e Tecnologia

The objective of the present work is to analyse the Fiocruz document classification code in archive (CCDA-Fiocruz) as an instrument of organization and as a… (more)

Subjects/Keywords: Código de classificação; Representação da informação; Classificação; CIENCIA DA INFORMACAO; Information representation; Classification; Classification code

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

APA (6th Edition):

Mendes, R. L. (2012). Sistemas de organização e representação do conhecimento: uma reflexão sobre o uso do código de classificação de documentos de arquivo da Fiocruz. (Thesis). Universidade Federal do Rio de Janeiro / Instituto Brasileiro de Informação em Ciência e Tecnologia. Retrieved from http://tede-dep.ibict.br/tde_busca/arquivo.php?codArquivo=125

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):

Mendes, Renata Lourenço. “Sistemas de organização e representação do conhecimento: uma reflexão sobre o uso do código de classificação de documentos de arquivo da Fiocruz.” 2012. Thesis, Universidade Federal do Rio de Janeiro / Instituto Brasileiro de Informação em Ciência e Tecnologia. Accessed October 23, 2019. http://tede-dep.ibict.br/tde_busca/arquivo.php?codArquivo=125.

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

MLA Handbook (7th Edition):

Mendes, Renata Lourenço. “Sistemas de organização e representação do conhecimento: uma reflexão sobre o uso do código de classificação de documentos de arquivo da Fiocruz.” 2012. Web. 23 Oct 2019.

Vancouver:

Mendes RL. Sistemas de organização e representação do conhecimento: uma reflexão sobre o uso do código de classificação de documentos de arquivo da Fiocruz. [Internet] [Thesis]. Universidade Federal do Rio de Janeiro / Instituto Brasileiro de Informação em Ciência e Tecnologia; 2012. [cited 2019 Oct 23]. Available from: http://tede-dep.ibict.br/tde_busca/arquivo.php?codArquivo=125.

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

Council of Science Editors:

Mendes RL. Sistemas de organização e representação do conhecimento: uma reflexão sobre o uso do código de classificação de documentos de arquivo da Fiocruz. [Thesis]. Universidade Federal do Rio de Janeiro / Instituto Brasileiro de Informação em Ciência e Tecnologia; 2012. Available from: http://tede-dep.ibict.br/tde_busca/arquivo.php?codArquivo=125

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


Anna University

8. Sudha ponnarasi, S. Minutiae extraction gender classification and age classification from fingerprints; -.

Degree: Information and Communication Engineering, 2014, Anna University

As there is a tremendous and revolutionary growth in the field of science and engineering it is a complicated task to protect the secured data… (more)

Subjects/Keywords: Age classification; Biometric; Fingerprints; Gender classification; Graphical User Interface; Information and communication engineering

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APA (6th Edition):

Sudha ponnarasi, S. (2014). Minutiae extraction gender classification and age classification from fingerprints; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24394

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):

Sudha ponnarasi, S. “Minutiae extraction gender classification and age classification from fingerprints; -.” 2014. Thesis, Anna University. Accessed October 23, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/24394.

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

MLA Handbook (7th Edition):

Sudha ponnarasi, S. “Minutiae extraction gender classification and age classification from fingerprints; -.” 2014. Web. 23 Oct 2019.

Vancouver:

Sudha ponnarasi S. Minutiae extraction gender classification and age classification from fingerprints; -. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Oct 23]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24394.

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

Council of Science Editors:

Sudha ponnarasi S. Minutiae extraction gender classification and age classification from fingerprints; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24394

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


Universidade de Lisboa

9. Bernardo, Alexandre. Features for the Classification and Clustering of Music in Symbolic Format.

Degree: 2008, Universidade de Lisboa

 Music Information Retrieval is, nowadays, a highly active branch of research and development in the computer science field, and focuses several topics, including music genre… (more)

Subjects/Keywords: MIDI Track Classification; Genre Classification; Music Information Retrieval; Neural Networks; Machine Learning; Language Modeling

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APA (6th Edition):

Bernardo, A. (2008). Features for the Classification and Clustering of Music in Symbolic Format. (Thesis). Universidade de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/13947

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):

Bernardo, Alexandre. “Features for the Classification and Clustering of Music in Symbolic Format.” 2008. Thesis, Universidade de Lisboa. Accessed October 23, 2019. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/13947.

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

MLA Handbook (7th Edition):

Bernardo, Alexandre. “Features for the Classification and Clustering of Music in Symbolic Format.” 2008. Web. 23 Oct 2019.

Vancouver:

Bernardo A. Features for the Classification and Clustering of Music in Symbolic Format. [Internet] [Thesis]. Universidade de Lisboa; 2008. [cited 2019 Oct 23]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/13947.

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

Council of Science Editors:

Bernardo A. Features for the Classification and Clustering of Music in Symbolic Format. [Thesis]. Universidade de Lisboa; 2008. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/13947

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


Universidade de Lisboa

10. Bernardo, Alexandre Miguel Entradas. Features for the Classification and Clustering of Music in Symbolic Format.

Degree: 2008, Universidade de Lisboa

 This document describes the work carried out under the discipline of Computing Engineering Project of the Computer Engineering Master, Sciences Faculty of the Lisbon University.… (more)

Subjects/Keywords: Language Modeling; MIDI Track Classification; Music Information Retrieval; Neural Networks; Genre Classification

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APA (6th Edition):

Bernardo, A. M. E. (2008). Features for the Classification and Clustering of Music in Symbolic Format. (Thesis). Universidade de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14010

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):

Bernardo, Alexandre Miguel Entradas. “Features for the Classification and Clustering of Music in Symbolic Format.” 2008. Thesis, Universidade de Lisboa. Accessed October 23, 2019. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14010.

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

MLA Handbook (7th Edition):

Bernardo, Alexandre Miguel Entradas. “Features for the Classification and Clustering of Music in Symbolic Format.” 2008. Web. 23 Oct 2019.

Vancouver:

Bernardo AME. Features for the Classification and Clustering of Music in Symbolic Format. [Internet] [Thesis]. Universidade de Lisboa; 2008. [cited 2019 Oct 23]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14010.

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

Council of Science Editors:

Bernardo AME. Features for the Classification and Clustering of Music in Symbolic Format. [Thesis]. Universidade de Lisboa; 2008. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14010

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


NSYSU

11. Chen, Po-ling. Recommending Travel Threads Based on Information Need Model.

Degree: Master, Information Management, 2012, NSYSU

 Recommendation techniques are developed to discover userâs real information need among large amounts of information. Recommendation systems help users filter out information and attempt to… (more)

Subjects/Keywords: Text classification; Travel threads recommendation; Travel threads classification; Question recommendation; Information need model

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APA (6th Edition):

Chen, P. (2012). Recommending Travel Threads Based on Information Need Model. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729112-222447

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, Po-ling. “Recommending Travel Threads Based on Information Need Model.” 2012. Thesis, NSYSU. Accessed October 23, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729112-222447.

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

MLA Handbook (7th Edition):

Chen, Po-ling. “Recommending Travel Threads Based on Information Need Model.” 2012. Web. 23 Oct 2019.

Vancouver:

Chen P. Recommending Travel Threads Based on Information Need Model. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 Oct 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729112-222447.

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

Council of Science Editors:

Chen P. Recommending Travel Threads Based on Information Need Model. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729112-222447

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

12. Ko, Connie On Ye. Tree Genera Classification by Ensemble Classification of Small-Footprint Airborne LiDAR.

Degree: PhD, Earth & Space Science, 2015, York University

 Tree genera information is useful in environmental applications such as forest management, forestry, urban planning, and the maintenance of utility transmission line infrastructure. The ability… (more)

Subjects/Keywords: Remote sensing; Geographic information science; Forestry; LiDAR; Geometric features; Genera classification; Ensemble classification; Unknown class

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APA (6th Edition):

Ko, C. O. Y. (2015). Tree Genera Classification by Ensemble Classification of Small-Footprint Airborne LiDAR. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/29829

Chicago Manual of Style (16th Edition):

Ko, Connie On Ye. “Tree Genera Classification by Ensemble Classification of Small-Footprint Airborne LiDAR.” 2015. Doctoral Dissertation, York University. Accessed October 23, 2019. http://hdl.handle.net/10315/29829.

MLA Handbook (7th Edition):

Ko, Connie On Ye. “Tree Genera Classification by Ensemble Classification of Small-Footprint Airborne LiDAR.” 2015. Web. 23 Oct 2019.

Vancouver:

Ko COY. Tree Genera Classification by Ensemble Classification of Small-Footprint Airborne LiDAR. [Internet] [Doctoral dissertation]. York University; 2015. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10315/29829.

Council of Science Editors:

Ko COY. Tree Genera Classification by Ensemble Classification of Small-Footprint Airborne LiDAR. [Doctoral Dissertation]. York University; 2015. Available from: http://hdl.handle.net/10315/29829


Jönköping University

13. Arvidsson, Simon. Classifying natural forests using LiDAR data.

Degree: Computer Science and Informatics, 2019, Jönköping University

  In forestry, natural forests are forest areas with high biodiversity, in need of preservation. The current mapping of natural forests is a tedious task… (more)

Subjects/Keywords: Geographic information systems; Classification and regression trees; Supervised learning by classification; Computer Systems; Datorsystem

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APA (6th Edition):

Arvidsson, S. (2019). Classifying natural forests using LiDAR data. (Thesis). Jönköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-45267

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):

Arvidsson, Simon. “Classifying natural forests using LiDAR data.” 2019. Thesis, Jönköping University. Accessed October 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-45267.

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

MLA Handbook (7th Edition):

Arvidsson, Simon. “Classifying natural forests using LiDAR data.” 2019. Web. 23 Oct 2019.

Vancouver:

Arvidsson S. Classifying natural forests using LiDAR data. [Internet] [Thesis]. Jönköping University; 2019. [cited 2019 Oct 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-45267.

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

Council of Science Editors:

Arvidsson S. Classifying natural forests using LiDAR data. [Thesis]. Jönköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-45267

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

14. Gustavsson, Fredrik. Förenklade informationsklassificeringsscheman hos svenska statliga myndigheter.

Degree: Informatics, 2016, University of Skövde

Information is a vital part for most organizations, not least for state agencies as they handle personal data for every citizen, such as medical… (more)

Subjects/Keywords: information security; information classification; classification scheme; Swedish state agencies; informationssäkerhet; informationsklassificering; klassificeringsschema; svenska statliga myndigheter; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Gustavsson, F. (2016). Förenklade informationsklassificeringsscheman hos svenska statliga myndigheter. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12446

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):

Gustavsson, Fredrik. “Förenklade informationsklassificeringsscheman hos svenska statliga myndigheter.” 2016. Thesis, University of Skövde. Accessed October 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12446.

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

MLA Handbook (7th Edition):

Gustavsson, Fredrik. “Förenklade informationsklassificeringsscheman hos svenska statliga myndigheter.” 2016. Web. 23 Oct 2019.

Vancouver:

Gustavsson F. Förenklade informationsklassificeringsscheman hos svenska statliga myndigheter. [Internet] [Thesis]. University of Skövde; 2016. [cited 2019 Oct 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12446.

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

Council of Science Editors:

Gustavsson F. Förenklade informationsklassificeringsscheman hos svenska statliga myndigheter. [Thesis]. University of Skövde; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12446

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


Luleå University of Technology

15. Ånestrand, Joakim. Alignment of information classification models for CAD data : from a model and process perspective.

Degree: 2010, Luleå University of Technology

Information and protection of information is vital to organizations to protect organizational competence. CAD data in form of 2D and 3D models consists of… (more)

Subjects/Keywords: Social Behaviour Law; Information Security; Information Security Classification; Infromation Classification Model; Cad data security; Samhälls-; beteendevetenskap; juridik

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

APA (6th Edition):

Ånestrand, J. (2010). Alignment of information classification models for CAD data : from a model and process perspective. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-54171

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):

Ånestrand, Joakim. “Alignment of information classification models for CAD data : from a model and process perspective.” 2010. Thesis, Luleå University of Technology. Accessed October 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-54171.

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

MLA Handbook (7th Edition):

Ånestrand, Joakim. “Alignment of information classification models for CAD data : from a model and process perspective.” 2010. Web. 23 Oct 2019.

Vancouver:

Ånestrand J. Alignment of information classification models for CAD data : from a model and process perspective. [Internet] [Thesis]. Luleå University of Technology; 2010. [cited 2019 Oct 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-54171.

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

Council of Science Editors:

Ånestrand J. Alignment of information classification models for CAD data : from a model and process perspective. [Thesis]. Luleå University of Technology; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-54171

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

16. Roussel, Guillaume. Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images.

Degree: Docteur es, Photonique et systèmes optoélectroniques, 2012, Toulouse, ISAE

L'imagerie hyperspectrale, grâce à un nombre élevé de bandes spectrales très fines et contigües, est capable d'associer àchaque pixel d'une image une signature spectrale caractéristique… (more)

Subjects/Keywords: Classification; Hyperspectral; Information spatiale; Texture; Champs de Markov; Segmentation; Classification; Hyperspectral; Spatial information; Texture; Markov Random Fields; Segmentation; 621

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

APA (6th Edition):

Roussel, G. (2012). Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images. (Doctoral Dissertation). Toulouse, ISAE. Retrieved from http://www.theses.fr/2012ESAE0020

Chicago Manual of Style (16th Edition):

Roussel, Guillaume. “Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images.” 2012. Doctoral Dissertation, Toulouse, ISAE. Accessed October 23, 2019. http://www.theses.fr/2012ESAE0020.

MLA Handbook (7th Edition):

Roussel, Guillaume. “Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images.” 2012. Web. 23 Oct 2019.

Vancouver:

Roussel G. Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images. [Internet] [Doctoral dissertation]. Toulouse, ISAE; 2012. [cited 2019 Oct 23]. Available from: http://www.theses.fr/2012ESAE0020.

Council of Science Editors:

Roussel G. Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images. [Doctoral Dissertation]. Toulouse, ISAE; 2012. Available from: http://www.theses.fr/2012ESAE0020


University of Western Ontario

17. Houngbo, Kokou Hospice. Investigating Citation Linkage Between Research Articles.

Degree: 2017, University of Western Ontario

 In recent years, there has been a dramatic increase in scientific publications across the globe. To help navigate this overabundance of information, methods have been… (more)

Subjects/Keywords: Citation linkage; machine learning; information extraction; corpus building techniques; information retrieval; text classification; Computer Sciences

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

APA (6th Edition):

Houngbo, K. H. (2017). Investigating Citation Linkage Between Research Articles. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/4630

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):

Houngbo, Kokou Hospice. “Investigating Citation Linkage Between Research Articles.” 2017. Thesis, University of Western Ontario. Accessed October 23, 2019. https://ir.lib.uwo.ca/etd/4630.

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

MLA Handbook (7th Edition):

Houngbo, Kokou Hospice. “Investigating Citation Linkage Between Research Articles.” 2017. Web. 23 Oct 2019.

Vancouver:

Houngbo KH. Investigating Citation Linkage Between Research Articles. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2019 Oct 23]. Available from: https://ir.lib.uwo.ca/etd/4630.

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

Council of Science Editors:

Houngbo KH. Investigating Citation Linkage Between Research Articles. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/4630

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

18. Aslam, Muhammad Irfan. Semantic Frame Based Automatic Extraction of Typological Information from Descriptive Grammars.

Degree: Informatics, 2019, University of Skövde

  This thesis project addresses the machine learning (ML) modelling aspects of the problemof automatically extracting typological linguistic information of natural languages spokenin South Asia… (more)

Subjects/Keywords: Automatic Information Extraction; Spoken Languages; Typological Linguistic Information; Logistic Regression; Classification; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Aslam, M. I. (2019). Semantic Frame Based Automatic Extraction of Typological Information from Descriptive Grammars. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17708

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):

Aslam, Muhammad Irfan. “Semantic Frame Based Automatic Extraction of Typological Information from Descriptive Grammars.” 2019. Thesis, University of Skövde. Accessed October 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17708.

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

MLA Handbook (7th Edition):

Aslam, Muhammad Irfan. “Semantic Frame Based Automatic Extraction of Typological Information from Descriptive Grammars.” 2019. Web. 23 Oct 2019.

Vancouver:

Aslam MI. Semantic Frame Based Automatic Extraction of Typological Information from Descriptive Grammars. [Internet] [Thesis]. University of Skövde; 2019. [cited 2019 Oct 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17708.

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

Council of Science Editors:

Aslam MI. Semantic Frame Based Automatic Extraction of Typological Information from Descriptive Grammars. [Thesis]. University of Skövde; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17708

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


Youngstown State University

19. Alam, Mohammad Tanveer. Image Classification for Remote Sensing Using Data-Mining Techniques.

Degree: MSin Mathematics, Department of Mathematics and Statistics, 2011, Youngstown State University

  Remote Sensing engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. Remote Sensing Satellites are currently the fastest growing… (more)

Subjects/Keywords: Computer Science; Geographic Information Science; Remote Sensing; Image Classification; Remote Sensing; Datamining; unsupervised classification; supervised classification; LANDSAT; IKONOS

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

APA (6th Edition):

Alam, M. T. (2011). Image Classification for Remote Sensing Using Data-Mining Techniques. (Masters Thesis). Youngstown State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ysu1313003161

Chicago Manual of Style (16th Edition):

Alam, Mohammad Tanveer. “Image Classification for Remote Sensing Using Data-Mining Techniques.” 2011. Masters Thesis, Youngstown State University. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1313003161.

MLA Handbook (7th Edition):

Alam, Mohammad Tanveer. “Image Classification for Remote Sensing Using Data-Mining Techniques.” 2011. Web. 23 Oct 2019.

Vancouver:

Alam MT. Image Classification for Remote Sensing Using Data-Mining Techniques. [Internet] [Masters thesis]. Youngstown State University; 2011. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1313003161.

Council of Science Editors:

Alam MT. Image Classification for Remote Sensing Using Data-Mining Techniques. [Masters Thesis]. Youngstown State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1313003161

20. Mikkelinen, Nicklas. Analysis of information classification best practices.

Degree: Informatics, 2015, University of Skövde

Information security, information management systems and more specifically information classification are important parts of an organisations information security. More and more information is being… (more)

Subjects/Keywords: information classification; information security; guidelines; ISO Standards; best practices; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Mikkelinen, N. (2015). Analysis of information classification best practices. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11551

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):

Mikkelinen, Nicklas. “Analysis of information classification best practices.” 2015. Thesis, University of Skövde. Accessed October 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11551.

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

MLA Handbook (7th Edition):

Mikkelinen, Nicklas. “Analysis of information classification best practices.” 2015. Web. 23 Oct 2019.

Vancouver:

Mikkelinen N. Analysis of information classification best practices. [Internet] [Thesis]. University of Skövde; 2015. [cited 2019 Oct 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11551.

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

Council of Science Editors:

Mikkelinen N. Analysis of information classification best practices. [Thesis]. University of Skövde; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11551

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


University of Florida

21. Mullen, Austin C. Self-Disclosure in Social Media What Is Considered Tmi? an Analysis of Where Millennials Draw the Line in Their Online Disclosures.

Degree: MA, Mass Communication - Journalism and Communications, 2015, University of Florida

 This research focused on discovering where millennials draw the line with information they were willing to share with others online using various social media platforms… (more)

Subjects/Keywords: Gender roles; Information classification; Information sharing; Information surveys; Loneliness; Self esteem; Sharing; Social media; Social surveys; User names; disclosure

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

APA (6th Edition):

Mullen, A. C. (2015). Self-Disclosure in Social Media What Is Considered Tmi? an Analysis of Where Millennials Draw the Line in Their Online Disclosures. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047873

Chicago Manual of Style (16th Edition):

Mullen, Austin C. “Self-Disclosure in Social Media What Is Considered Tmi? an Analysis of Where Millennials Draw the Line in Their Online Disclosures.” 2015. Masters Thesis, University of Florida. Accessed October 23, 2019. http://ufdc.ufl.edu/UFE0047873.

MLA Handbook (7th Edition):

Mullen, Austin C. “Self-Disclosure in Social Media What Is Considered Tmi? an Analysis of Where Millennials Draw the Line in Their Online Disclosures.” 2015. Web. 23 Oct 2019.

Vancouver:

Mullen AC. Self-Disclosure in Social Media What Is Considered Tmi? an Analysis of Where Millennials Draw the Line in Their Online Disclosures. [Internet] [Masters thesis]. University of Florida; 2015. [cited 2019 Oct 23]. Available from: http://ufdc.ufl.edu/UFE0047873.

Council of Science Editors:

Mullen AC. Self-Disclosure in Social Media What Is Considered Tmi? an Analysis of Where Millennials Draw the Line in Their Online Disclosures. [Masters Thesis]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047873


Dalhousie University

22. Mason, Jane E. An n-gram Based Approach to the Automatic Classification of Web Pages by Genre.

Degree: PhD, Faculty of Computer Science, 2009, Dalhousie University

 The extraordinary growth in both the size and popularity of the World Wide Web has generated a growing interest in the identification of Web page… (more)

Subjects/Keywords: Web page classification; Web page genre; information retrieval

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APA (6th Edition):

Mason, J. E. (2009). An n-gram Based Approach to the Automatic Classification of Web Pages by Genre. (Doctoral Dissertation). Dalhousie University. Retrieved from http://hdl.handle.net/10222/12351

Chicago Manual of Style (16th Edition):

Mason, Jane E. “An n-gram Based Approach to the Automatic Classification of Web Pages by Genre.” 2009. Doctoral Dissertation, Dalhousie University. Accessed October 23, 2019. http://hdl.handle.net/10222/12351.

MLA Handbook (7th Edition):

Mason, Jane E. “An n-gram Based Approach to the Automatic Classification of Web Pages by Genre.” 2009. Web. 23 Oct 2019.

Vancouver:

Mason JE. An n-gram Based Approach to the Automatic Classification of Web Pages by Genre. [Internet] [Doctoral dissertation]. Dalhousie University; 2009. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10222/12351.

Council of Science Editors:

Mason JE. An n-gram Based Approach to the Automatic Classification of Web Pages by Genre. [Doctoral Dissertation]. Dalhousie University; 2009. Available from: http://hdl.handle.net/10222/12351


Temple University

23. Ghalwash, Mohamed. Interpretable Early Classification of Multivariate Time Series.

Degree: PhD, 2013, Temple University

Computer and Information Science

Recent advances in technology have led to an explosion in data collection over time rather than in a single snapshot. For… (more)

Subjects/Keywords: Computer science; Information science; Bioinformatics;

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APA (6th Edition):

Ghalwash, M. (2013). Interpretable Early Classification of Multivariate Time Series. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,239730

Chicago Manual of Style (16th Edition):

Ghalwash, Mohamed. “Interpretable Early Classification of Multivariate Time Series.” 2013. Doctoral Dissertation, Temple University. Accessed October 23, 2019. http://digital.library.temple.edu/u?/p245801coll10,239730.

MLA Handbook (7th Edition):

Ghalwash, Mohamed. “Interpretable Early Classification of Multivariate Time Series.” 2013. Web. 23 Oct 2019.

Vancouver:

Ghalwash M. Interpretable Early Classification of Multivariate Time Series. [Internet] [Doctoral dissertation]. Temple University; 2013. [cited 2019 Oct 23]. Available from: http://digital.library.temple.edu/u?/p245801coll10,239730.

Council of Science Editors:

Ghalwash M. Interpretable Early Classification of Multivariate Time Series. [Doctoral Dissertation]. Temple University; 2013. Available from: http://digital.library.temple.edu/u?/p245801coll10,239730


University of Illinois – Chicago

24. Wang, Hong. Adversarial Prediction Framework for Information Retrieval and Natural Language Processing Metrics.

Degree: 2017, University of Illinois – Chicago

 Many Information Retrieval (IR) and Natural Language Processing (NLP) tasks require predicting structured objects (e.g., sequences, rankings, matchings, parse trees) that are evaluated using F-score… (more)

Subjects/Keywords: Adversarial classification; structure prediction; Information Retrieval and Natural Language Processing application

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APA (6th Edition):

Wang, H. (2017). Adversarial Prediction Framework for Information Retrieval and Natural Language Processing Metrics. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21860

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):

Wang, Hong. “Adversarial Prediction Framework for Information Retrieval and Natural Language Processing Metrics.” 2017. Thesis, University of Illinois – Chicago. Accessed October 23, 2019. http://hdl.handle.net/10027/21860.

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

MLA Handbook (7th Edition):

Wang, Hong. “Adversarial Prediction Framework for Information Retrieval and Natural Language Processing Metrics.” 2017. Web. 23 Oct 2019.

Vancouver:

Wang H. Adversarial Prediction Framework for Information Retrieval and Natural Language Processing Metrics. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10027/21860.

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

Council of Science Editors:

Wang H. Adversarial Prediction Framework for Information Retrieval and Natural Language Processing Metrics. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21860

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


Anna University

25. Daniel, Madan Raja S. Certain investigations on various feature extraction methods in war scene classification using ann and svm with performance analysis; -.

Degree: Information and Communication Engineering, 2014, Anna University

The present research study addresses the problem of war scene classification from natural scene Scene classification underlies many problems in visual perception such as object… (more)

Subjects/Keywords: ann and svm; information and communication engineering; war scene classification

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APA (6th Edition):

Daniel, M. R. S. (2014). Certain investigations on various feature extraction methods in war scene classification using ann and svm with performance analysis; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24993

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):

Daniel, Madan Raja S. “Certain investigations on various feature extraction methods in war scene classification using ann and svm with performance analysis; -.” 2014. Thesis, Anna University. Accessed October 23, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/24993.

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

MLA Handbook (7th Edition):

Daniel, Madan Raja S. “Certain investigations on various feature extraction methods in war scene classification using ann and svm with performance analysis; -.” 2014. Web. 23 Oct 2019.

Vancouver:

Daniel MRS. Certain investigations on various feature extraction methods in war scene classification using ann and svm with performance analysis; -. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Oct 23]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24993.

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

Council of Science Editors:

Daniel MRS. Certain investigations on various feature extraction methods in war scene classification using ann and svm with performance analysis; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24993

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


The Ohio State University

26. Sriram, Bharath. Short Text Classification in Twitter to Improve Information Filtering.

Degree: MS, Computer Science and Engineering, 2010, The Ohio State University

  In micro-blogging services such as Twitter, the users may get overwhelmed by the raw data. One solution to this problem is the classification of… (more)

Subjects/Keywords: Computer Science; Text Classification; Twitter; Short Text; Information filtering

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APA (6th Edition):

Sriram, B. (2010). Short Text Classification in Twitter to Improve Information Filtering. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1275406094

Chicago Manual of Style (16th Edition):

Sriram, Bharath. “Short Text Classification in Twitter to Improve Information Filtering.” 2010. Masters Thesis, The Ohio State University. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275406094.

MLA Handbook (7th Edition):

Sriram, Bharath. “Short Text Classification in Twitter to Improve Information Filtering.” 2010. Web. 23 Oct 2019.

Vancouver:

Sriram B. Short Text Classification in Twitter to Improve Information Filtering. [Internet] [Masters thesis]. The Ohio State University; 2010. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1275406094.

Council of Science Editors:

Sriram B. Short Text Classification in Twitter to Improve Information Filtering. [Masters Thesis]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1275406094


RMIT University

27. Harris, M. Effective retrieval to support learning.

Degree: 2010, RMIT University

 To use digital resources to support learning, we need to be able to retrieve them. This thesis introduces a new area of research within information(more)

Subjects/Keywords: Fields of Research; Information retrieval; educational resources; classification

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

APA (6th Edition):

Harris, M. (2010). Effective retrieval to support learning. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:11440

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):

Harris, M. “Effective retrieval to support learning.” 2010. Thesis, RMIT University. Accessed October 23, 2019. http://researchbank.rmit.edu.au/view/rmit:11440.

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

MLA Handbook (7th Edition):

Harris, M. “Effective retrieval to support learning.” 2010. Web. 23 Oct 2019.

Vancouver:

Harris M. Effective retrieval to support learning. [Internet] [Thesis]. RMIT University; 2010. [cited 2019 Oct 23]. Available from: http://researchbank.rmit.edu.au/view/rmit:11440.

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

Council of Science Editors:

Harris M. Effective retrieval to support learning. [Thesis]. RMIT University; 2010. Available from: http://researchbank.rmit.edu.au/view/rmit:11440

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


NSYSU

28. Tsai, Shian-Chi. A Mixed Approach for Multi-Label Document Classification.

Degree: Master, Electrical Engineering, 2010, NSYSU

 Unlike single-label document classification, where each document exactly belongs to a single category, when the document is classified into two or more categories, known as… (more)

Subjects/Keywords: relevance score; information retrieval; Multi-Label document classification; fuzzy similarity measure

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APA (6th Edition):

Tsai, S. (2010). A Mixed Approach for Multi-Label Document Classification. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810110-175700

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):

Tsai, Shian-Chi. “A Mixed Approach for Multi-Label Document Classification.” 2010. Thesis, NSYSU. Accessed October 23, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810110-175700.

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

MLA Handbook (7th Edition):

Tsai, Shian-Chi. “A Mixed Approach for Multi-Label Document Classification.” 2010. Web. 23 Oct 2019.

Vancouver:

Tsai S. A Mixed Approach for Multi-Label Document Classification. [Internet] [Thesis]. NSYSU; 2010. [cited 2019 Oct 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810110-175700.

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

Council of Science Editors:

Tsai S. A Mixed Approach for Multi-Label Document Classification. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810110-175700

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


University of Cincinnati

29. Mondal, Abhro Jyoti. Document Classification using Characteristic Signatures.

Degree: MS, Engineering and Applied Science: Computer Science, 2017, University of Cincinnati

 Supervised document classification technique, proposes a model that is trained with a training set with fixed number of labeled classes and can be effectively used… (more)

Subjects/Keywords: Computer Science; Text classification; Template matching; Signatures; Information retrieval

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APA (6th Edition):

Mondal, A. J. (2017). Document Classification using Characteristic Signatures. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511793852923472

Chicago Manual of Style (16th Edition):

Mondal, Abhro Jyoti. “Document Classification using Characteristic Signatures.” 2017. Masters Thesis, University of Cincinnati. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511793852923472.

MLA Handbook (7th Edition):

Mondal, Abhro Jyoti. “Document Classification using Characteristic Signatures.” 2017. Web. 23 Oct 2019.

Vancouver:

Mondal AJ. Document Classification using Characteristic Signatures. [Internet] [Masters thesis]. University of Cincinnati; 2017. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511793852923472.

Council of Science Editors:

Mondal AJ. Document Classification using Characteristic Signatures. [Masters Thesis]. University of Cincinnati; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511793852923472

30. Löfström, Helena. Time to Open the Black Box : Explaining the Predictions of Text Classification.

Degree: Education and IT, 2018, University of Borås

  The purpose of this thesis has been to evaluate if a new instance based explanation method, called Automatic Instance Text Classification Explanator (AITCE), could… (more)

Subjects/Keywords: Text Classification; Explanation Methods; Machine Learning; Information Studies; Biblioteks- och informationsvetenskap

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

APA (6th Edition):

Löfström, H. (2018). Time to Open the Black Box : Explaining the Predictions of Text Classification. (Thesis). University of Borås. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14194

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):

Löfström, Helena. “Time to Open the Black Box : Explaining the Predictions of Text Classification.” 2018. Thesis, University of Borås. Accessed October 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14194.

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

MLA Handbook (7th Edition):

Löfström, Helena. “Time to Open the Black Box : Explaining the Predictions of Text Classification.” 2018. Web. 23 Oct 2019.

Vancouver:

Löfström H. Time to Open the Black Box : Explaining the Predictions of Text Classification. [Internet] [Thesis]. University of Borås; 2018. [cited 2019 Oct 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14194.

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

Council of Science Editors:

Löfström H. Time to Open the Black Box : Explaining the Predictions of Text Classification. [Thesis]. University of Borås; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14194

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

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