A snowflake-core tensor factorization model achieves slightly lower prediction error than three baselines for dynamic QoS data, but the reported gains are tiny and the experiments lack statistical validation.
NeuLFT: A novel approach to nonlinear canonical polyadic decomposition on high- dimensional incomplete tensors,
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Dynamic QoS Prediction via a Non-Negative Tensor Snowflake Factorization
A snowflake-core tensor factorization model achieves slightly lower prediction error than three baselines for dynamic QoS data, but the reported gains are tiny and the experiments lack statistical validation.