首页|New Computational Intelligence Study Results Reported from Xiamen University of Technology (Target-embedding Autoencoder With Knowledge Distillation for Multi-l abel Classification)
New Computational Intelligence Study Results Reported from Xiamen University of Technology (Target-embedding Autoencoder With Knowledge Distillation for Multi-l abel Classification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Computational Intelligence have beenpublished. According to news reportin g originating from Xiamen, People’s Republic of China, by NewsRxcorrespondents, research stated, “In the task of multi-label classification, it is a key challe nge to determinethe correlation between labels. One solution to this is the Tar get Embedding Autoencoder (TEA), butmost TEA-based frameworks have numerous par ameters, large models, and high complexity, which makesit difficult to deal wit h the problem of large-scale learning.”
XiamenPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningXiamen University of Technology
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