Kernel methods and support vector machines for handwriting recognition

• Main Authors: Ahmad A.R., Khalid M., Yusof R.
• Other Authors: 35589598800
• Format: Conference paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Subjects: Artificial intelligence; Character recognition; Classification (of information); Geometry; Learning systems; Quadratic programming; Classification tasks; Handwriting recognition; Higher dimensional features; Kernel function; Kernel methods; Maximal margin; Sequential minimization optimizations; Training data; Support vector machines

This paper presents a review of kernel methods in machine learning. The support vector machine (SVM) as one of the methods in machine learning to make use of kernels is first discussed with the intention of applying it to handwriting recognition. SVM works by mapping training data for a classificati...