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Kernel methods and support vector machines for handwriting recognition

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...

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Bibliographic Details
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
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