Details of Research Outputs

TitleThe Use of Stochastic Models in the Analysis of Vast English Literary Data Corpora
Author (Name in English or Pinyin)
Chenjie Zeng 1; Clement Leung 2
Date Issued2020-12-04
Conference Name2020 6th International Conference on Big Data and Information Analytics (BigDIA)
Source Publication6th International Conference on Big Data and Information Analytics
Conference PlaceShenzhen, China
DOI10.1109/BigDIA51454.2020.00052
Education discipline科技类
Published range国内外公开发行
References
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[3] W. Shakespeare and P. Alexander, William Shakespeare; the complete works. London: Collins, 1964.
[4] G. Taylor, Shakespeare and Others: The Authorship of "Henry the Sixth, Part One". Medieval & Renaissance Drama in England, 1995, Vol. 7 (1995), pp. 145-205. Rosemont Publishing & Printing Corp DBA Associated University Presses.
[5] C. Patrick, Shakespeare's literary authorship. Cambridge: Cambridge University Press, 2008.
[6] P. Edmondson and S. Wells, Shakespeare Beyond Doubt. Cambridge: Cambridge University Press, 2013.
[7] G. Taylor and G. Egan, The New Oxford Shakespeare: Authorship Companion. Oxford: Oxford University Press, 2017.
[8] E. Martina, The Use of Dialects and Foreign Languages in Shakespeare?s King Henry V-Characteristics of the Fool Explored. English Studies, Informa UK Limited. Colchester, vol. 100, pp. 767-784, Jun 2019.
[9] F. D. Saussure, Course in general linguistics. New York: The Philosophical Library, 1959.
[10] D. Berend and A. Kontorovich, A Finite Sample Analysis of the Naive Bayes Classifier. Journal of Machine Learning Research, 16(1):1519-1545, 2015.
[11] C. M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag, 2006.
[12] W. Feller, Introduction to Probability Theory and Its Applications, Volume I, 3rd. Ed. Wiley, 2008.
[13] T. Fawcett, "An introduction to ROC analysis, " Pattern Recognition Letters, vol. 27, no. 8, 861-874, 2006.
[14] D. D. Lewis and W. A. Gale, A Sequential Algorithm for Training Text Classifiers. In Proceedings of the Seventeenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 3-12, 1994.
[15] N. L. J. Kuang and C. H. C. Leung, Analysis of Evolutionary Behavior in Self-Learning Media Search Engines, in Proceedings of the IEEE International Conference on Big Data, Los Angeles, USA, 643-650, 2019.
[16] N. L. J. Kuang and C. H. C. Leung, Performance Dynamics and Termination Errors in Reinforcement Learning-A Unifying Perspective. In Proceedings of the IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 129-133, 2018.
[17] E. Parzen. Stochastic Processes. Dover, 2018.
[18] R. Snow, B. O'Connor, D. Jurafsky, and A. Y. Ng, Cheap and Fast-but is It Good? Evaluating Non-expert Annotations for Natural Language Tasks. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 254-263, 2008.
[19] N. L. J. Kuang and C. H. C. Leung, Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation. in Misra S. et al. (eds) in Computational Science and Its Applications-ICCSA 2019, 311-322, Lecture Notes in Computer Science, Vol. 11620. Springer, 2019.
[20] N. L. J. Kuang and C. H. C. Leung, Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm, in Proceedings of the IEEE International Conference on Machine Learning and Applications, Florida, USA, 929-936, 2019.
[21] S. Bassnett and A. Lefevere, Constructing cultures: essays on literary translation. Clevedon: Multilingual Matters, 1998.
[22] W. Shakespeare, The Sonnets. London: Macmillan Collector?s Library, 2016.
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/1515
CollectionSchool of Science and Engineering
Corresponding AuthorClement Leung
Affiliation
1.人文社科学院
2.理工学院
First Author AffilicationSchool of Humanities and Social Science
Corresponding Author AffilicationSchool of Science and Engineering
Recommended Citation
GB/T 7714
Chenjie Zeng,Clement Leung. The Use of Stochastic Models in the Analysis of Vast English Literary Data Corpora[C],2020.
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