LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3149926
Abstract: Learning from label proportions (LLP) is a widespread and important learning paradigm: only the bag-level proportional information of the grouped training instances is available for the classification task, instead of the instance-level labels in the… read more here.
Keywords: instance level; llp gan; learning label; label proportions ... See more keywords
Fitting the data from embryo implantation prediction: Learning from label proportions
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280216651098
Abstract: Machine learning techniques have been previously used to assist clinicians to select embryos for human-assisted reproduction. This work aims to show how an appropriate modeling of the problem can contribute to improve machine learning techniques… read more here.
Keywords: data embryo; embryo implantation; label proportions; learning label ... See more keywords