Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification.
IEEE Transactions on Cybernetics(2018)
摘要
The generalization ability of a classifier learned from a training set is usually dependent on the classifier's uncertainty, which is often described by the fuzziness of the classifier's outputs on the training set. Since the exact dependency relation between generalization and uncertainty of a classifier is quite complicated, it is difficult to clearly or explicitly express this relation in gener...
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关键词
Training,Uncertainty,Mathematical model,Complexity theory,Cognition,Algorithm design and analysis,Indexes
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