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Text categorization by fuzzy domain adaptation
2013
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Machine learning methods have attracted attention of researches in computational fields such as classification/categorization. However, these learning methods work under the assumption that the training and test data distributions are identical. In some real world applications, the training data (from the source domain) and test data (from the target domain) come from different domains and this may result in different data distributions. Moreover, the values of the features and/or labels of the
doi:10.1109/fuzz-ieee.2013.6622530
dblp:conf/fuzzIEEE/BehboodLZ13
fatcat:5qbgu4azy5ctlcxhy2knavcr4q