Semisupervised Regression with Tangent Space Intrinsic Manifold Regularization

Authors

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

Keywords:

Semisupervised classification, regression,tangent space intrinsic manifold regularization.

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.

References

  1. Shiliang Sun and Xijiong Xie "Semisupervised Support Vector Machines With Tangent Space Intrinsic Manifold Regularization" ieee transactions on neural networks and learning systems, vol. 27, no. 9, september 2016
  2. S. Sun, "Tangent space intrinsic manifold regularization for data representation," in Proc. 1st IEEE China Summit Int. Conf. Signal Inf. Process., Beijing, China, Jul. 2013, pp. 179–183.
  3. X. Xie and S. Sun, "Multi-view Laplacian twin support vector machines," Appl. Intell., vol. 41, no. 4, pp. 1059–1068, Dec. 2014.
  4. V. Sindhwani and D. S. Rosenberg, "An RKHS for multi-view learning and manifold co regularization," in Proc. 25th Int. Conf. Mach. Learn., Helsinki, Finland, Jul. 2008, pp. 976–983.
  5. S. Sun, "Multi-view Laplacian support vector machines," Lecture Notes Comput. Sci., vol. 7121, no. 1, pp. 209–222, 2011.
  6. Jayadeva, R. Khemchandani, and S. Chandra, "Twin support vector machines for pattern classification," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 5, pp. 905– 910, May 2007.
  7. R. Tibshirani, "Regression shrinkage and selection via the lasso," J. Roy. Statist. Soc. B, Methodol., vol. 58, no. 1, pp. 267–288, 1996.
  8. V. Sindhwani, P. Niyogi, and M. Belkin, "A co-regularization approach to semisupervised learning with multiple views," in Proc. 22nd Workshop Learn. Multiple ICML, Aug. 2005, pp. 1–6.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.