A qos prediction approach based on truncated nuclear norm low-rank tensor completion

HIGHLIGHTS

• who: Hong Xia and collaborators from the School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, China have published the research: A QoS Prediction Approach Based on Truncated Nuclear Norm Low-Rank Tensor Completion, in the Journal: Sensors 2022, 22, 6266. of /2022/
• what: The authors propose Tensor Completion method for the data prediction. For the low-rank characteristic of QoS data, the authors propose a model-based CF method to solve the shortcomings of existing methods. In the following, the authors provide the derivation formulae for the variables . . .
  

   

  

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