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AN ALTERNATIVE METHOD OF CONCEPT LEARNING

  • SEN WANG (a1), QINGXIANG FANG (a2) and JUN-E FENG (a1)
Abstract

We solve the problem of concept learning using a semi-tensor product method. All possible hypotheses are expressed under the framework of a semi-tensor product. An algorithm is raised to derive the version space. In some cases, the new approach improves the efficiency compared to the previous approach.

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Corresponding author
fengjune@sdu.edu.c
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

D. Cheng and H. Qi , “Controllability and observability of Boolean control networks”, Automatica 45 (2009) 16591667; doi:10.1016/j.automatica.2009.03.006.

D. Cheng and H. Qi , “A linear representation of dynamics of Boolean networks”, IEEE Trans. Automat. Control 55(10) (2010) 22512258; doi:10.1109/TAC.2010.2043294.

D. Cheng , H. Qi , Z. Li and J. Liu , “Stability and stabilization of Boolean networks”, Internat. J. Robust Nonlinear Control 21 (2011) 134156; doi:10.1002/rnc.1581.

D. Haussler , “Quantifying inductive bias: AI learning algorithms and Valiant’s learning framework”, Artificial Intelligence 36 (1988) 177221; doi:10.1016/0004-3702(88)90002-1.

Y. Zhao , H. Qi and D. Cheng , “Input-state incidence matrix of Boolean control networks and its applications”, Systems Control Lett. 59 (2010) 767774; doi:10.1016/j.sysconle.2010.09.002.

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The ANZIAM Journal
  • ISSN: 1446-1811
  • EISSN: 1446-8735
  • URL: /core/journals/anziam-journal
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