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stat.ML2024
PUAL: A Classifier on Trifurcate Positive-Unlabeled Data
Xiaoke Wang, Xiaochen Yang, Rui Zhu +1
Positive-unlabeled (PU) learning aims to train a classifier using the data containing only labeled-positive instances and unlabeled instances. However, existing PU learning methods…
stat.ML2021
Robust Classification via Support Vector Machines
Vali Asimit, Ioannis Kyriakou, Simone Santoni +2
Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to data uncertainty has raised great interest in the machine le…