Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors
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DOI: 10.1109/tcyb.2019.2903736
Abstract: Quality-of-service (QoS) data vary over time, making it vital to capture the temporal patterns hidden in such dynamic data for predicting missing ones with high accuracy. However, currently latent factor (LF) analysis-based QoS-predictors are mostly… read more here.
Keywords: biased non; factorization tensors; qos; negative latent ... See more keywords