Least squares support vector machine with self-organizing multiple kernel learning and sparsity

© 2018 In recent years, least squares support vector machines (LSSVMs) with various kernel functions have been widely used in the field of machine learning. However, the selection of kernel functions is often ignored in practice. In this paper, an improved LSSVM method based on self-organizing multi...

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Bibliographic Details
Main Authors: Chang Liu, Lixin Tang, Jiyin Liu
Format: Default Article
Published: 2018
Subjects:
Other commerce, management, tourism and services not elsewhere classified
Least squares support vector machines
Self-organizing multiple kernel learning
Sparse selection
Differential evolution
Business and Management not elsewhere classified
Online Access:https://hdl.handle.net/2134/37390
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