Computer Science ›› 2018, Vol. 45 ›› Issue (1): 108-112.doi: 10.11896/j.issn.1002-137X.2018.01.017

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Optimization Algorithm of Multiply Lie Group Covering Learning Algorithm

WU Lu-hui, LI Fan-zhang and ZHANG Li   

  • Online:2018-01-15 Published:2018-11-13

Abstract: In the previous study,a multiply Lie group kernel covering learning algorithm was proposed to reduce the intersection of roads and improve the correctness of classification for multi-connected spaces.However,the performance of the kernel learning algorithm depends on the choice of kernel function.In this paper,it is considered that the original Lie group samples are mapped to the target Lie group space by the Lie group homomorphic mapping,the degree of the road association is minimized in different single connected spaces in the target Lie group space,and the correlation degree of the road in the same single connected space is maximized,in order to reduce road cross problems.

Key words: Lie group,Covering learning algorithm,Road cross,Kernel learning algorithm

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