On the Role of Update Constraints and Text-Types in Iterative Learning
Abstract
The present work investigates the relationship of iterative learning with other learning criteria such as decisiveness, caution, reliability, non-U-shapedness, monotonicity, strong monotonicity and conservativeness. Building on the result of Case and Moelius that iterative learners can be made non-U-shaped, we show that they also can be made cautious and decisive. Furthermore, we obtain various special results with respect to one-one texts, fat texts and one-one hypothesis spaces.
Cite
Text
Jain et al. "On the Role of Update Constraints and Text-Types in Iterative Learning." International Conference on Algorithmic Learning Theory, 2014. doi:10.1007/978-3-319-11662-4_5Markdown
[Jain et al. "On the Role of Update Constraints and Text-Types in Iterative Learning." International Conference on Algorithmic Learning Theory, 2014.](https://mlanthology.org/alt/2014/jain2014alt-role/) doi:10.1007/978-3-319-11662-4_5BibTeX
@inproceedings{jain2014alt-role,
title = {{On the Role of Update Constraints and Text-Types in Iterative Learning}},
author = {Jain, Sanjay and Kötzing, Timo and Ma, Junqi and Stephan, Frank},
booktitle = {International Conference on Algorithmic Learning Theory},
year = {2014},
pages = {55-69},
doi = {10.1007/978-3-319-11662-4_5},
url = {https://mlanthology.org/alt/2014/jain2014alt-role/}
}