Active learning literature survey
B Settles - 2009 - minds.wisconsin.edu
The key idea behind active learning is that a machine learning algorithm can achieve
greater accuracy with fewer labeled training instances if it is allowed to choose the training …
greater accuracy with fewer labeled training instances if it is allowed to choose the training …
The SAFE procedure: a practical stop** heuristic for active learning-based screening in systematic reviews and meta-analyses
J Boetje, R van de Schoot - Systematic reviews, 2024 - Springer
Active learning has become an increasingly popular method for screening large amounts of
data in systematic reviews and meta-analyses. The active learning process continually …
data in systematic reviews and meta-analyses. The active learning process continually …
A survey of active learning for natural language processing
Z Zhang, E Strubell, E Hovy - ar** criterion for active learning based on deterministic generalization bounds
H Ishibashi, H Hino - International Conference on Artificial …, 2020 - proceedings.mlr.press
Active learning is a framework in which the learning machine can select the samples to be
used for training. This technique is promising, particularly when the cost of data acquisition …
used for training. This technique is promising, particularly when the cost of data acquisition …