所蔵: Kernel methods and support vector machines for handwriting recognition

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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主要な著者:	Ahmad A.R., Khalid M., Yusof R.
その他の著者:	35589598800
フォーマット:	Conference paper
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2023
主題:	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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Kernel methods and support vector machines for handwriting recognition

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