It adopts an advanced regularization scheme to enhance the model's robustness and generality. It also applies the density-oriented strategy to establish the ...
A Well-Designed Regularization Scheme for Latent Factorization of High-Dimensional and Incomplete Water-Quality Tensors from Sensor Networks. MSN 2023: 596-603 ...
A latent factorization of tensors (LFT)-based model has proven to be efficient to solve this problem, where a dynamic network is represented as a three-way high ...
References (15). A Well-Designed Regularization Scheme for Latent Factorization of High-Dimensional and Incomplete Water-Quality Tensors from Sensor Networks.
A Well-Designed Regularization Scheme for Latent Factorization of High-Dimensional and Incomplete Water-Quality Tensors from Sensor Networks pp. 596-603. Multi ...
In this paper we develop nonparametric matrix factorization methods by allowing the latent factors of two low-rank matrix factorization methods.
A Well-Designed Regularization Scheme for Latent Factorization of High-Dimensional and Incomplete Water-Quality Tensors from Sensor Networks. Conference ...
We propose a novel dimension preserved (DP) tensor decomposition method. It preserves the multi-way nature of traffic data. By decomposing the tensor structure ...
A water quality monitoring case study ... A penalized likelihood-based quality monitoring via L2-norm regularization for high-dimensional processes.
A Well-Designed Regularization Scheme for Latent Factorization of High-Dimensional and. Incomplete Water-Quality Tensors from Sensor Networks. 596. Xuke Wu ...