National Taiwan University

Argon Cheng-Kang Chen

Chiung-Nien Chen

Wen-Hung Kuo

Shu-Chuan Chuang

An adaptable classification method is provided. The method performs the classification by using a classification standard having a plurality of categories. The classification standard is classified into different categories based on probability ranges. The adaptable classification method includes training a classifying device with a plurality of samples and using the trained classifying device to determine the categories of the samples to obtain classification model scores of the samples, transferring, by using logistic-like functions, the classification model scores into probability values; and adjusting parameters of logistic-like functions to iterate the training of the classifying device such that the probability values conform to value ranges corresponding to categories of the classification standard. The adaptable classification method is applicable to various classification methods based on the probability ranges, and can also retrieve a specific category from the classified categories for further classification to increase the efficacy.

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Taipei, Taiwan

Argon Cheng-Kang Chen