Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3016928
Abstract: Active learning is an important learning paradigm in machine learning and data mining, which aims to train effective classifiers with as few labeled samples as possible. Querying discriminative (informative) and representative samples are the state-of-the-art… read more here.
Keywords: discriminative representative; active learning; querying discriminative; learning ... See more keywords
Frailty Index associates with GRIN2B in two representative samples from the United States and the United Kingdom
Sign Up to like & getrecommendations! Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0207824
Abstract: The concept of frailty has been used in the clinical and research field for more than two decades. It is usually described as a clinical state of heightened vulnerability to poor resolution of homeostasis after… read more here.
Keywords: ontology; representative samples; frailty; frailty index ... See more keywords