Parallel Multitasking In Real Time Applications

Authors(3) :-Ramya A, Ramya B, Suryaa K

Parallel multitasking is mainly for solving multiple related classification of tasks parallely. It classifies every sequence of data received by each task accurately and efficiently. Parallel multitasking also enables parallel micro-blogging on a group of users, which allows the user to post views as well as see the views posted by others. It maintains a global model over the entire data of all tasks. The individual models for multiple related tasks are jointly inferred by leveraging the global model through a parallel multitasking approach. The user can work on multiple applications at the same time. Experimental results shows that the method is effective and scalable at the online classification of multiple task

Authors and Affiliations

Ramya A
Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
Ramya B
Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
Suryaa K
Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India

Artificial intelligence, learning systems, online learning, multitask learning, classification

Publication Details

Published in : Volume 1 | Issue 2 | March-April 2015
Date of Publication : 2015-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 111-113
Manuscript Number : IJSRSET152227
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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.
Journal URL : http://ijsrset.com/IJSRSET152227

Article Preview

Follow Us

Contact Us