Search Results for author:
Found 2 papers, 0 papers with code
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
These results are used to derive a generalization bound which can be applied to classification with low rank matrices as well as linear classifiers based on any of the commonly used tensor decomposition models.
Lower and Upper Bounds on the VC-Dimension of Tensor Network Models
These results are used to derive a generalization bound which can be applied to classification with low rank matrices as well as linear classifiers based on any of the commonly used tensor decomposition models.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
