Semisupervised Regression with Tangent Space Intrinsic Manifold Regularization

B. Patchaiamma and R.Vimala

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2017, vol. 2, issue 2, 335-337

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.

Keywords: Semisupervised classification; regression; tangent space intrinsic manifold regularization. (search for similar items in EconPapers)
Date: 2017
Note: Article URL: https://ijsrcseit.com/CSEIT172276
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