Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Computer Sciences
Abstract
Visualisations can be used to provide developers with insights into the inner workings of interactive machine learning techniques. In active learning, an inherently interactive machine learning technique, the design of selection strategies is the key research question and this paper demonstrates how spring model based visualisations can be used to provide insight into the precise operation of various selection strategies. Using sample datasets, this paper provides detailed examples of the differences between a range of selection strategies.
DOI
https://doi.org/10.21427/D79P5S
Recommended Citation
MacNamee,B., Hu,R.,& Delany, S. (2010) Inside the Selection Box: Visualising active learning selection strategies. The Challenges of Data Visualization Neural Information Processing Systems, (NIPS) 2010 Workshop, Vancouver, Canada, 6 December. doi:10.21427/D79P5S
Funder
SFI RFP
Included in
Artificial Intelligence and Robotics Commons, Databases and Information Systems Commons, Graphics and Human Computer Interfaces Commons
Publication Details
The Challenges of Data Visualization Neural Information Processing Systems (NIPS) 2010 Workshop