Journal of Hebei University (Natural Science Edition) ›› 2015, Vol. 35 ›› Issue (5): 449-452.DOI: 10.3969/j.issn.1000-1565.2015.05.001

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Key theorem of statistical learning theory with complex quasi-random samples corrupted by noise

DU Erling1,LI Junhua2   

  • Online:2015-09-25 Published:2015-09-25

Key words: complex quasi-random samples, noise, complex empirical risk minimization principle, key theorem

CLC Number: