Efficient parameter selection of support vector machines

• Main Authors: Ismael, Kamarulafizam, Salleh, Shaharuddin, Najeb, J. M., Jahangir Bakhteri, R. B.
• Format: Book Section
• Published: Institute of Electrical and Electronics Engineers 2008
• Subjects: TS Manufactures
• Online Access: http://eprints.utm.my/id/eprint/12555/; http://dx.doi.org/10.1007/978-3-540-69139-6-49

Support Vector Machine (SVM) has, over the years established itself as an effective method for machine learning. SVM has strengths as such that it uses a kernel function to deal with arbitrary structured data which comprises of non-linear data sets. However, to fully optimize the benefits of using t...