Abstract
Incremental learning is widely used in artificial intelligence, pattern recognition and other fields. It is an effective method to solve the system, where samples are less in the beginning of training, but over time its performance reduces. In this paper, based on the analyses of support vector machine and the characteristics of incremental learning, we proposed incremental learning method which is based on the minimum classification error criterion. Moreover, the validity and feasibility of this algorithm is verified through experiments.
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© 2013 Springer-Verlag London
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Wen, B., Shan, G., Duan, X. (2013). Research of Incremental Learning Algorithm Based on the Minimum Classification Error Criterion. In: Du, W. (eds) Informatics and Management Science III. Lecture Notes in Electrical Engineering, vol 206. Springer, London. https://doi.org/10.1007/978-1-4471-4790-9_83
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DOI: https://doi.org/10.1007/978-1-4471-4790-9_83
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Online ISBN: 978-1-4471-4790-9
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