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аналитика - Tensor Decomposition Methods
ALℓ0CORE Tensor Decomposition for Sparse Count Data Analysis
Alℓ0core introduces a new probabilistic tensor decomposition method that balances computational efficiency and interpretability.
The ALℓ0CORE Tensor Decomposition for Sparse Count Data: A Detailed Analysis
The author introduces Alℓ0core, a new probabilistic tensor decomposition method that combines the computational tractability of canonical polyadic (CP) decomposition with the qualitative appeal of Tucker. The approach aims to achieve a middle ground between CP and Tucker by introducing a sparsity constraint on the core tensor.
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