Cognitively inspired rule-plus-exemplar based pattern classification
Despite the many strengths of machine learning pattern classification techniques, they have intrinsic weaknesses compared to human learning, which is far more comprehensible, adaptive, and flexible. These are issues that need to be addressed. In applications where the classifiers play supporting rol...
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| Format: | Thesis |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/61749 |