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Semisupervised Regression with Tangent Space Intrinsic Manifold Regularization

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  • B. Patchaiamma
  • R.Vimala

Abstract

Semisupervised learning is very important in machine learning for research processing. The main reason is small amount labeled examples and large amount unlabeled examples used. It reduce the expense of the process. In this paper, proposed a regression algorithm applied to the regularization method. Tangent space intrinsic manifold regularization method is dimensionality reduction technique.

Suggested Citation

  • B. Patchaiamma & R.Vimala, 2017. "Semisupervised Regression with Tangent Space Intrinsic Manifold Regularization," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 335-337, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit172276
    Note: Article URL: https://ijsrcseit.com/CSEIT172276
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