How to define a rejection class based on model learning
2020 25th International Conference on Pattern Recognition (ICPR)(2020)
摘要
In supervised classification, the learning process typically trains a classifier to optimize the accuracy of classifying data into the classes that appear in the learning set, and only them. While this framework fits many use cases, there are situations where the learning process is knowingly performed using a learning set that only represents the data that have been observed so far among a virtua...
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关键词
Computational modeling,Probability density function,Pattern recognition
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