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Spatiotemporal Regularized Tucker Decomposition Approach for Traffic Data Imputation
Then, based on Tucker decomposition, the tensor is approximated by multiplying non-negative factor matrices with a sparse core tensor.
Sparse Gaussian Process Based On Hat Basis Functions
Based on hat basis functions, we propose a new sparse Gaussian process method to solve the unconstrained regression problem.
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