International Journal of Scientific Research in Science, Engineering and TechnologyPrint ISSN : 2395-1990 Online ISSN : 2394-4099 firstname.lastname@example.org
 R. Caruana, “Multitask learning,” Mach. Learn., vol. 28, no. 1, pp. 41–75, Jul. 1997.
 T. Evgeniou, C. A. Micchelli, and M. Pontil, “Learning multiple tasks with kernel methods,” J. Mach. Learn. Res., vol. 6, pp. 615–637, Apr. 2005.
 G. Li, S. C. H. Hoi, K. Chang, and R. Jain, “Micro-blogging sentiment detection by collaborative online learning,” in IEEE 10th ICDM, Sydney, NSW, Australia, 2010, pp. 893–898.
 G. Li, K. Chang, S. C. H. Hoi, W. Liu, and R. Jain, “Collaborative online learning of user generated content,” in Proc. 20th ACM Int.CIKM, 2011, pp. 285–290.
 A. Saha, P. Rai, H. Daumé, III, and S. Venkatasubramanian, “Online learning of multiple tasks and their relationships,” in Proc. 14th Int. Conf. AISTATS, Ft. Lauderdale,FL, USA,2011,pp. 643–651.
 G. Cavallanti, N. Cesa-Bianchi, and C. Gentile, “Linear algorithms for online multitask classification,” J. Mach. Learn. Res., vol. 11, pp. 2901–2934, Oct. 2010.
 J. Zhou, J. Chen, and J. Ye, (2011). MALSAR: Multi-task Learning via StructurAl Regularization, Arizona State University, [Online]. Available: http://www.public.asu.edu/∼jye02/Software/MALSA
 S. Ben-David and R. Schuller, “Exploiting task relatedness for mulitple task learning,” in 16th Annu. COLT, Washington, DC, USA, 2003, pp. 567–580.
 E. V. Bonilla, K. M. Chai, and C. K. I. Williams, “Multi-task
Gaussian process prediction,” in NIPS, Dec. 2007.
 D. Sheldon, “Graphical multi-task learning,” in NIPS’08 Workshop Structured Input Structured Output, 2008.
 R. K. Ando and T. Zhang, “A framework for learning predictive
structures from multiple tasks and unlabeled data,” J. Mach. Learn. Res., vol. 6, pp. 1817–1853, Nov. 2005.
 O. Chapelle, P. K. Shivaswamy, S. Vadrevu, K. Q. Weinberger, Y. Zhang, and B. L. Tseng, “Multi-task learning for boosting with application to web search ranking,” in Proc. 16th ACM SIGKDD Int. Conf. KDD, Washington, DC, USA, 2010, pp. 1189–1198.
 Z. Kang, K. Grauman, and F. Sha, “Learning with whom to share in multi-task feature learning,” in Proc. 28th ICML, Bellevue, WA, USA, 2011.
 A. Argyriou, C. A. Micchelli, M. Pontil, and Y. Ying, “A spectral regularization framework for multitask structure learning,” in NIPS, 2008, pp. 25–32.
 L. Jacob, F. Bach, and J. Vert, “Clustered multi-task learning,” in NIPS, 2009, pp. 745–752.
 K. Q. Weinberger, A. Dasgupta, J. Langford, A. J. Smola, and J. Attenberg, “Feature hashing for large scale multitask learning,” in Proc. 26th Annu. ICML, 2009, p. 140.
 O. Dekel, P. M. Long, and Y. Singer, “Online multitask learning,”in 19th Annu. COLT, Ft. Lauderdale, FL, USA, 2006, pp. 453–467.'
Cite This Article
Ramya A, Ramya B, Suryaa K, "Parallel Multitasking In Real Time Applications", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.111-113, March-April-2015.
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