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Blar i NTNU Open på forfatter "Yu, Tong"

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    • Sparse factorization of square matrices with application to neural attention modeling 

      Khalitov, Ruslan; Yu, Tong; Cheng, Lei; Yang, Zhirong (Peer reviewed; Journal article, 2022)
      Square matrices appear in many machine learning problems and models. Optimization over a large square matrix is expensive in memory and in time. Therefore an economic approximation is needed. Conventional approximation ...
    • Stochastic Local Search for Efficient Hybrid Feature Selection 

      Mengshoel, Ole Jakob; Yu, Tong; Riege, Jon; Flogard, Eirik Lund (Chapter, 2021)
      There is a need to study not only accuracy but also computational cost in machine learning. Focusing on both accuracy and computational cost of feature selection, we develop and test stochastic local search (SLS) heuristics ...
    • Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention 

      Zeng, Ming; Gao, Haoxiang; Yu, Tong; Mengshoel, Ole Jakob; Langseth, Helge; Lane, Ian; Liu, Xiaobing (Chapter, 2018)
      Deep neural networks, including recurrent networks, have been successfully applied to human activity recognition. Unfortunately, the final representation learned by recurrent networks might encode some noise (irrelevant ...

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