Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/91079
| Type: | Conference paper |
| Title: | Learning the context of a category |
| Author: | Navarro, D.J. |
| Citation: | Advances in Neural Information Processing Systems 23, 2010 / Lafferty, J.D., Williams, C.K.I., Shawe-Taylor, J., Zemel, R.S., Culotta, A. (ed./s), pp.1-9 |
| Publisher: | Neural Information Processing Systems Foundation |
| Issue Date: | 2010 |
| ISBN: | 9781617823800 |
| Conference Name: | 24th Annual Conference on Neural Information Processing Systems 2010 (NIPS 2010) (6 Dec 2010 - 11 Dec 2010 : Vancouver, Canada) |
| Editor: | Lafferty, J.D. Williams, C.K.I. Shawe-Taylor, J. Zemel, R.S. Culotta, A. |
| Statement of Responsibility: | Daniel J. Navarro |
| Abstract: | This paper outlines a hierarchical Bayesian model for human category learning that learns both the organization of objects into categories, and the context in which this knowledge should be applied. The model is fit to multiple data sets, and provides a parsimonious method for describing how humans learn context specific conceptual representations. |
| Rights: | © The Author |
| Published version: | http://papers.nips.cc/paper/4139-learning-the-context-of-a-category |
| Appears in Collections: | Aurora harvest 2 Psychology publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| hdl_91079.pdf | Published version | 166.17 kB | Adobe PDF | View/Open |
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