Ontology highlight
ABSTRACT:
SUBMITTER: Liu B
PROVIDER: S-EPMC10712856 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
PloS one 20231211 12
Large datasets with noisy labels and high dimensions have become increasingly prevalent in industry. These datasets often contain errors or inconsistencies in the assigned labels and introduce a vast number of predictive variables. Such issues frequently arise in real-world scenarios due to uncertainties or human errors during data collection and annotation processes. The presence of noisy labels and high dimensions can significantly impair the generalization ability and accuracy of trained mode ...[more]