Zobrazeno 1 - 9
of 9
pro vyhledávání: '"MING-KUN XIE"'
Autor:
Sheng-Jun Huang, Ming-Kun Xie
Publikováno v:
AAAI
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 strate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecf99fdac61e60ed7e801ec8c5540f44
https://doi.org/10.1609/aaai.v34i04.6117
https://doi.org/10.1609/aaai.v34i04.6117
Publikováno v:
KDD
In partial multi-label learning (PML) problems, each instance is partially annotated with a candidate label set, which consists of multiple relevant labels and some noisy labels. To solve PML problems, existing methods typically try to recover the gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::add06c985ccded1d3baa5edc9bed82db
https://doi.org/10.1145/3447548.3467259
https://doi.org/10.1145/3447548.3467259
Autor:
Ming-Kun Xie, Sheng-Jun Huang
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e86aa623f1953975ea66a020c719b5f
Autor:
Ming-Kun Xie, Sheng-Jun Huang
Publikováno v:
ICDM
Partial multi-label learning (PML) deals with problems where each instance is associated with a candidate label set, which contains multiple relevant labels and some noisy labels. In many real-world scenarios, it is impractical to annotate all exampl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d202ad9a4d7207d737e7021c80c1a8a4
https://doi.org/10.1109/icdm50108.2020.00078
https://doi.org/10.1109/icdm50108.2020.00078
Autor:
Ming-Kun Xie, Sheng-Jun Huang
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
It is expensive and difficult to precisely annotate objects with multiple labels. Instead, in many real tasks, annotators may roughly assign each object with a set of candidate labels. The candidate set contains at least one but unknown number of gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e4047fc1afd6b339dabff3429c61ad0
https://doi.org/10.1609/aaai.v32i1.11644
https://doi.org/10.1609/aaai.v32i1.11644
Publikováno v:
KDD
Feature missing is a serious problem in many applications, which may lead to low quality of training data and further significantly degrade the learning performance. While feature acquisition usually involves special devices or complex process, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77bac61a2d71b280526de2f9d0143608
Publikováno v:
Ophthalmologica. 235:57-60
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b7b524935a042fb4c5ab47333534d28
https://doi.org/10.1159/000439446
https://doi.org/10.1159/000439446
Publikováno v:
Familial Cancer. 14:229-239
Genome-wide association studies have identified many genes associated with digestive tract neoplasms. However, the published findings have been conflicting. The aim of our study was to evaluate the involvement of two polymorphisms (miR-146a rs2910164
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6f6e57b52c5ebdc113e5df1588ecab3
https://doi.org/10.1007/s10689-014-9776-6
https://doi.org/10.1007/s10689-014-9776-6
Publikováno v:
Biomedical Reports. 2014, Vol. 2 Issue 6, p804-808. 5p.