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Kapil,
- A Machine Learning Approach for News Headlines Classification
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1 NIT Kurukshetra, Kurukshetra 136119, IN
1 NIT Kurukshetra, Kurukshetra 136119, IN
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Research Cell: An International Journal of Engineering Sciences, Vol 31, No SP (2019), Pagination: 90-95Abstract
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References
- El Naqa I., Murphy M.J. (2015) What Is Machine Learning?. In: El Naqa I., Li R., Murphy M. (eds) Machine Learning in Radiation Oncology. Springer, Cham
- Anubhav A., Jasmeet S., Dr. Kapil. (2018) A Review of Different Text Categorization Techniques. International Journal of Engineering & Technology, 7 (3.8) (2018) 11-15
- R. Jindal, R. Malhotra, A. Jain (2015), "Techniques for text classification: Literature review and current trends", Webology, Volume 12, Number 2
- John Gantz and David Reinsel (2012) THE DIGITAL UNIVERSE IN 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East. Technical Report 1. IDC, 5 Speen Street, Framingham, MA 01701 USA
- Kibriya A.M., Frank E., Pfahringer B., Holmes G. (2004) Multinomial Naive Bayes for Text Categorization Revisited. In: Webb G.I., Yu X. (eds) AI 2004: Advances in Artificial Intelligence. AI 2004. Lecture Notes in Computer Science, vol 3339. Springer, Berlin, Heidelberg
- Joachims T. (1998) Text categorization with Support Vector Machines: Learning with many relevant features. In: Nédellec C., Rouveirol C. (eds) Machine Learning: ECML-98. ECML 1998. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence), vol 1398. Springer, Berlin, Heidelberg
- Alexander Genkin, David D Lewis & David Madigan (2007) Large-Scale Bayesian Logistic Regression for Text Categorization, Technometrics, 49:3, 291-304, DOI:10.1198/004017007000000245
- Golub, G.H. & Reinsch, C. Numer. Math. (1970) 14: 403. https://doi.org/10.1007/BF02163027
- A Tutorial on Finite Newton Method for Unconstrained Optimization Problem
Abstract Views :161 |
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Authors
Neha Goyal
1,
Kapil
1
Affiliations
1 National institute of technology, kurukshetra, IN
1 National institute of technology, kurukshetra, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 31, No SP (2019), Pagination: 116-119Abstract
.Full Text
References
- Mangasarian, O. L. (2002). A finite Newton method for classification. Optimization Methods and Software, 17(5), 913-929.
- Fung, G., & Mangasarian, O. L. (2003). Finite Newton method for Lagrangian support vector machine classification. Neurocomputing, 55(1-2), 39-55.
- https://en.wikipedia.org/wiki/Newton%27s_method_in_optimization
- https://ocw.mit.edu/courses/sloan-school-of-management/15-084j-nonlinear-programming-spring-2004/lecture-notes/lec3_newton_mthd.pdf
- http://web.mit.edu/~jadbabai/www/EE605/lectures/unconstrained.pdf
- Zheng, S. (2018). A fast-iterative algorithm for support vector data description. International Journal of Machine Learning and Cybernetics, 1-15.