Semisupervised Regression with Tangent Space Intrinsic Manifold Regularization

Authors(2) :-B. Patchaiamma, R.Vimala

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.

Authors and Affiliations

B. Patchaiamma
Computer Science Department, IFET College of Engineering, Villupuram, Tamil Nadu , India
Computer Science Department, IFET College of Engineering, Villupuram, Tamil Nadu , India

Semisupervised classification, regression,tangent space intrinsic manifold regularization.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 335-337
Manuscript Number : CSEIT172276
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

B. Patchaiamma, R.Vimala, "Semisupervised Regression with Tangent Space Intrinsic Manifold Regularization ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.335-337, March-April-2017.
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