Pages that link to "Item:Q959265"
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The following pages link to A comparison of algorithms for fitting the PARAFAC model (Q959265):
Displaying 8 items.
- Computing the Gradient in Optimization Algorithms for the CP Decomposition in Constant Memory through Tensor Blocking (Q5258607) (← links)
- Estimating latent trends in multivariate longitudinal data via Parafac2 with functional and structural constraints (Q5280194) (← links)
- Low Complexity Damped Gauss--Newton Algorithms for CANDECOMP/PARAFAC (Q5300549) (← links)
- A Riemannian Trust Region Method for the Canonical Tensor Rank Approximation Problem (Q5376452) (← links)
- Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank- $(L_{r,n},L_{r,n},1)$ Terms---Part II: Algorithms (Q5502141) (← links)
- Alternating Mahalanobis Distance Minimization for Accurate and Well-Conditioned CP Decomposition (Q6087747) (← links)
- Alternating cyclic vector extrapolation technique for accelerating nonlinear optimization algorithms and fixed-point mapping applications (Q6126026) (← links)
- On four-way CP model estimation efficiency (Q6538422) (← links)
