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The ensemble of optimal input-pruned neural networks using TRUST-TECH (ELITE) method for constructing high-quality ensemble through an optimal linear combination of accurate and diverse neural networks is developed. The optimization problems in the proposed methodology are solved by a global optimization a global optimization method called TRansformation Under Stability-reTraining Equilibrium Characterization...
Tag services have recently become one of the most popular Internet services on the World Wide Web. Due to the fact that a Web page can be associate with multiple tags, previous research on tag recommendation mainly focuses on improving its accuracy or efficiency through multi-label learning algorithms. However, as a Web page can also be split into multiple sections and be represented as a bag of instances,...
Along with the explosive growth of the Web, Web image search has become a more and more popular application which helps users digest the large amount of online visual information. Previous research mainly exploits visual information between images while rarely uses the text information surrounding the images on the Web pages. In this paper, we consider the relevance feedback as a machine learning...
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