Combination of Classifiers With Optimal Weight Based on Evidential Reasoning.

IEEE Transactions on Fuzzy Systems(2018)

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摘要
In pattern classification problem, different classifiers learnt using different training data can provide more or less complementary knowledge, and the combination of classifiers is expected to improve the classification accuracy. Evidential reasoning (ER) provides an efficient framework to represent and combine the imprecise and uncertain informations. In this paper, we want to focus on the weigh...
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关键词
Erbium,Cognition,Training,Reliability,Decision making,Electronic mail,Training data
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