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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DU Erling1,LI Junhua2
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Published:
Key words: complex quasi-random samples, noise, complex empirical risk minimization principle, key theorem
CLC Number:
O29 TP181
DU Erling,LI Junhua. Key theorem of statistical learning theory with complex quasi-random samples corrupted by noise[J]. Journal of Hebei University (Natural Science Edition), 2015, 35(5): 449-452.
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