An Efficient and Simplified Model for Forecasting using SRM

An Efficient and Simplified Model for Forecasting using SRM

Learning form continuous financial systems play a vital role in enterprise operations. One of the most sophisticated non-parametric supervised learning classifiers, SVM (Support Vector Machines), provides robust and accurate results, however it may require intense computation and other resources. Th...

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Bibliographic Details
Main Authors: Hafiz Muhammad Shahzad Asif, Muhammad Faisal Hayat, Tauqir Ahmad
Format: Article
Language:English
Published: Mehran University of Engineering and Technology 2014-01-01
Series:Mehran University Research Journal of Engineering and Technology
Subjects:
Structural Risk Minimization
Support Vector Regression
Statistical Learning Theory
Sales Forecasting
Support Vector Machine
VC Dimension
Online Access:http://publications.muet.edu.pk/research_papers/pdf/pdf842.pdf

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http://publications.muet.edu.pk/research_papers/pdf/pdf842.pdf

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