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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Main Authors:	Sit, Wing Yee, Mao, K. Z.
Other Authors:	School of Electrical and Electronic Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
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
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-102908
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spelling	sg-ntu-dr.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
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Sit, Wing Yee Mao, K. Z. A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification
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.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Sit, Wing Yee Mao, K. Z.
format	Conference or Workshop Item
author	Sit, Wing Yee Mao, K. Z.
author_sort	Sit, Wing Yee
title	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_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_sort	cognitively inspired rule-plus-exemplar framework for interpretable pattern classification
publishDate	2014
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
_version_	1681042779607662592

A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification

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