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

• 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
• Institution: Nanyang Technological University

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...