Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 106 === The imbalanced data problem occurs in many application domains and is considered to be a challenging problem in machine learning and data mining. Oversampling may lead to overfitting, while undersampling may discard representative data samples. Additionally,...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/3cc7k8 |