A generalized concept-cognitive learning: A machine learning viewpoint
January 08, 2018 Β· Declared Dead Β· π arXiv.org
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Authors
Yunlong Mi, Yong Shi, Jinhai Li
arXiv ID
1801.02334
Category
cs.AI: Artificial Intelligence
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Concept-cognitive learning (CCL) is a hot topic in recent years, and it has attracted much attention from the communities of formal concept analysis, granular computing and cognitive computing. However, the relationship among cognitive computing (CC), concept-cognitive computing (CCC), CCL and concept-cognitive learning model (CCLM) is not clearly described. To this end, we first explain the relationship of CC, CCC, CCL and CCLM. Then, we propose a generalized concept-cognitive learning (GCCL) from the point of view of machine learning. Finally, experiments on some data sets are conducted to verify the feasibility of concept formation and concept-cognitive process of GCCL.
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