Corpus ID: 24593109

Feature Selection using Multivariate Adaptive Regression Splines

@inproceedings{Kumar2016FeatureSU,
  title={Feature Selection using Multivariate Adaptive Regression Splines},
  author={D. S. Kumar and S. Sukanya},
  year={2016}
}
  • D. S. Kumar, S. Sukanya
  • Published 2016
  • Multi-label learning is a supervised learning method in which classification algorithm is required to learn a set of instances; where each instance belongs to multiple classes. Feature selection in the multi-label dataset is a challenging task due to complex interaction among features and class labels. Therefore, the multivariate adaptive regression spline (MARS) is used to classify and to select the important features. MARS handles large dataset and makes prediction quickly. Here, an… CONTINUE READING
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