Publications by authors named "Ming-Kun Xie"

Class-conditional noise commonly exists in machine learning tasks, where the class label is corrupted with a probability depending on its ground-truth. Many research efforts have been made to improve the model robustness against the class-conditional noise. However, they typically focus on the single label case by assuming that only one label is corrupted.

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Partial multi-label learning (PML) deals with problems where each instance is assigned with a candidate label set, which contains multiple relevant labels and some noisy labels. Recent studies usually solve PML problems with the disambiguation strategy, which recovers ground-truth labels from the candidate label set by simply assuming that the noisy labels are generated randomly. In real applications, however, noisy labels are usually caused by some ambiguous contents of the example.

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Aims: A previous genome-wide association study of high myopia identified five genome-wide loci for ocular axial length (C3orf26, ZC3H11B, RSPO1, GJD2, and ZNRF3). The aim of our study was to investigate the association between high myopia and genetic variants in the five loci in Han Chinese subjects.

Methods: Five single nucleotide polymorphisms were genotyped in 296 unrelated high-myopia subjects and 300 matched emmetropic controls by the SNaPshot method.

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Allogeneic peripheral blood stem cells transplantation (allo-PBSCT) or allogeneic bone marrow transplantation (allo-BMT) have been widely used to treat patients exhibiting certain severe illnesses. However, previous studies have shown that the biological materials of allo-PBSCT or allo-BMT recipients may not constitute credible materials for personal identification. In the present study, four types of commonly used samples were collected from a male individual following gender-matched allo-BMT.

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