Publication Type : Conference Paper
Thematic Areas : Medical Sciences, Biotech
Publisher : Scopus, Intelligent Engineering Systems Through Artificial Neural Networks, Amer Society of Mechanical Engineers (ASME) Press, St. Louis, USA
Source : Proc. of 13th International Conference on Artificial Neural Networks in Engineering (ANNIE 2003), Amer Society of Mechanical Engineers (ASME) Press, St. Louis, USA (2003)
Campus : Amritapuri, Kochi
School : School of Business, School of Engineering
Center : Amrita Mind Brain Center, Biotechnology
Department : Computer Science, biotechnology
Year : 2003
Abstract : The concept of Proximal Support Vector Machines (PSVM) has redefined the functioning of support vector machine classifiers primarily with respect to the speed of classification of data. In one such technique, a data set of size n with r categories of a response variable is divided into r dyadic sets, with each dyadic set G comprising of x elements of a particular category and (n-x) elements from the remaining categories. Complexity and time required for data classification is directly proportional to the number of categories of response variable and size of data sets. We propose a Mobile Multi-Agent System (MMAS) approach to reduce the turnaround time by distributing the classification process to r agents spread across a network and working in parallel.
Cite this Research Publication : Dr. Vivek Menon and Diwakar, S., “Exploiting Mobile Multiagent Systems for Multiclass Proximal Support Vector Classification”, in Proc. of 13th International Conference on Artificial Neural Networks in Engineering (ANNIE 2003), St. Louis, USA, Volume 13, Pages 187-192, 2003.