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View all- Li JSatheesh SHeindorf SMoussallem DSpeck RNgomo A(2024)AutoCL: AutoML for Concept LearningExplainable Artificial Intelligence10.1007/978-3-031-63787-2_7(117-136)Online publication date: 10-Jul-2024
Cognitive mechanism of forming concepts is analyzed.Granular computing is combined with cognitive concept structure to improve concept learning efficiency.A novel cognitive computing system is proposed to improve concept learning flexibility.Cognitive ...
Concept learning approaches based on refinement operators explore partially ordered solution spaces to compute concepts, which are used as binary classification models for individuals. However, the number of concepts explored by these approaches ...
This paper addresses the problem of concept learning for semantic image retrieval. Two types of semantic concepts are introduced in our system: the individual concept and the scene concept. The individual concepts are explicitly provided in a vocabulary ...
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