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An important and widespread topic in cloud computing is text analyzing. People often use topic model which is a popular and effective technology to deal with related tasks. Among all the topic models, sLDA is acknowledged as a popular supervised topic model, which adds a response variable or category label with each document, so that the model can uncover the latent structure of a text dataset as...
With one class outnumbering another, many real classification tasks show imbalanced class distributions, which brings big trouble to standard classification models: they usually intend to recognize a minority instance as a majority one. The data gravitation based classification (DGC) model, a newly developed physical-inspired supervised learning model, has been proven effective for standard supervised...
In order to increase accuracy predicting Pareto dominance in optimizing expensive multi-objective problems with high dimensional decision vector space, a method to identifying the equivalent and redundant dimensions in decision vector space is proposed. A kind of satisfaction degree based on the contribution of each decision component to each objective function is defined and used to determine the...
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