Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets

Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski. Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. In George A. Papadopoulos, Tsvi Kuflik, Fang Chen, Carlos Duarte, Wai-Tat Fu, editors, Proceedings of the 22nd International Conference on Intelligent User Interfaces, IUI 2017, Limassol, Cyprus, March 13-16, 2017. pages 547-552, ACM, 2017. [doi]

Abstract

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