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Analysis of Machine Learning through Support Vector Machine: Catalyst
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 6
Year of Publication: 2014
|
10.5120/17532-8105 |
Pooja Shrimali and K Venugopalan. Article: Analysis of Machine Learning through Support Vector Machine: Catalyst. International Journal of Computer Applications 100(6):42-46, August 2014. Full text available. BibTeX
@article{key:article,
author = {Pooja Shrimali and K. Venugopalan},
title = {Article: Analysis of Machine Learning through Support Vector Machine: Catalyst},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {100},
number = {6},
pages = {42-46},
month = {August},
note = {Full text available}
}
Abstract
This paper investigates the use of support vector machine (SVM) in machine learning. The purpose of this study is to experiment of SVM in e-learning methodology. Main constituent of this research is to innovate and implement pedagogical hypermedia document. In the article [19] artificial neural network (ANN) has been used to test learners learning capabilities, which is now being replaced by SVM in the present article to understand statistical analysis of learner's knowledge level. By this experiment it is suggested that this methodology is over and above ANN which is used as mathematical and statistical results.
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