Experiments on the supervised learning algorithm for formal concept elicitation by cognitive robots

Abstract

Concept elicitation is a fundamental methodology for knowledge extraction and representation in cognitive robot learning. Traditional machine learning technologies deal with object identification, cluster classification, functional regression, and behavior acquisition. This paper presents a supervised machine knowledge learning methodology for concept… (More)
DOI: 10.1109/ICCI-CC.2016.7862015

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@article{Zatarain2016ExperimentsOT, title={Experiments on the supervised learning algorithm for formal concept elicitation by cognitive robots}, author={Omar A. Zatarain and Yingxu Wang}, journal={2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)}, year={2016}, pages={86-96} }