| dc.creator | Cardellino, Cristian | |
| dc.creator | Alonso i Alemany, Laura | |
| dc.date | 2015 | |
| dc.date | 2015 | |
| dc.date | 2016-04-08T12:29:22Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/52131 | |
| dc.identifier | http://44jaiio.sadio.org.ar/sites/default/files/asai184-191.pdf | |
| dc.identifier | issn:2451-7585 | |
| dc.description | Active learning provides promising methods to optimize the cost of manually annotating a dataset. However, practitioners in many areas do not massively resort to such methods because they present technical difficulties and do not provide a guarantee of good performance, especially in skewed distributions with scarcely populated minority classes and an undefined, catch-all majority class, which are very common in human-related phenomena like natural language.
In this paper we present a comparison of the simplest active learning technique, pool-based uncertainty sampling, and its opposite, which we call reversed uncertainty sampling. We show that both obtain results comparable to the random, arguing for a more insightful approach to active learning. | |
| dc.description | Sociedad Argentina de Informática e Investigación Operativa (SADIO) | |
| dc.format | application/pdf | |
| dc.format | 184-191 | |
| dc.language | en | |
| dc.rights | http://creativecommons.org/licenses/by-sa/3.0/ | |
| dc.rights | Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.subject | active learning | |
| dc.subject | pool-based uncertainty sampling | |
| dc.subject | Aprendizaje | |
| dc.title | Reversing uncertainty sampling to improve active learning schemes | |
| dc.type | Objeto de conferencia | |
| dc.type | Objeto de conferencia | |
