A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification
While the generalizability of classifiers receive much attention in research, interpretability is often neglected. This paper proposes a rule-plus-exemplar classification framework based on ideas in cognitive psychology. The classification process is interpretable and intuitive, and also generalizes...
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| Format: | Conference Paper |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/102908 http://hdl.handle.net/10220/19143 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6289943&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6289943 |
| _version_ | 1826123015090339840 |
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| author | Sit, Wing Yee Mao, K. Z. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Sit, Wing Yee Mao, K. Z. |
| author_sort | Sit, Wing Yee |
| collection | NTU |
| description | While the generalizability of classifiers receive much attention in research, interpretability is often neglected. This paper proposes a rule-plus-exemplar classification framework based on ideas in cognitive psychology. The classification process is interpretable and intuitive, and also generalizes well. It can perform better than other interpretable methods such as decision trees, for both interpolative and extrapolative generalization. |
| first_indexed | 2024-10-01T05:58:02Z |
| format | Conference Paper |
| id | ntu-10356/102908 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:58:02Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/1029082019-12-06T21:02:07Z A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification Sit, Wing Yee Mao, K. Z. School of Electrical and Electronic Engineering International Conference on Information Fusion (FUSION) (15th : 2012) DRNTU::Engineering::Electrical and electronic engineering While the generalizability of classifiers receive much attention in research, interpretability is often neglected. This paper proposes a rule-plus-exemplar classification framework based on ideas in cognitive psychology. The classification process is interpretable and intuitive, and also generalizes well. It can perform better than other interpretable methods such as decision trees, for both interpolative and extrapolative generalization. Published version 2014-04-07T03:07:33Z 2019-12-06T21:02:07Z 2014-04-07T03:07:33Z 2019-12-06T21:02:07Z 2012 2012 Conference Paper Sit, W. Y., & Mao, K. Z. (2012). A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification. 2012 15th International Conference on Information Fusion (FUSION), pp. 1188-1195. https://hdl.handle.net/10356/102908 http://hdl.handle.net/10220/19143 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6289943&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6289943 en © 2012 International Society of Information Fusion (ISIF). This paper was published in 2012 15th International Conference on Information Fusion (FUSION) and is made available as an electronic reprint (preprint) with permission of International Society of Information Fusion (ISIF). The paper can be found at the following official URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6289943&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6289943. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Sit, Wing Yee Mao, K. Z. A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification |
| title | A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification |
| title_full | A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification |
| title_fullStr | A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification |
| title_full_unstemmed | A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification |
| title_short | A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification |
| title_sort | cognitively inspired rule plus exemplar framework for interpretable pattern classification |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/102908 http://hdl.handle.net/10220/19143 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6289943&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6289943 |
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