Tensor Regression Model. Mar 28 2021 The relationship with one explanatory variable is called simple linear regression and for more than one explanatory variables it is called multiple linear regression. It models all voxels of the tensor response jointly while accounting for the inher- ent structural information among the voxels.
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Run in Google Colab. It models all voxels of the tensor response jointly while accounting for the inher- ent structural information among the voxels. Tensor response regression model The tensor response regression TRR model studies the regression problem with a tensor response and a vector predictor Li and Zhang2017.
Contrast this with a classification problem where the aim is to select a class from a list of classes for example where a picture contains an apple or an orange recognizing.
We propose par- simonious tensor response regression adopting a generalized sparsity principle. View source on GitHub. May 15 2020 30 epochs have been specified for our model. It eectively reduces the number of free parameters leading to feasible computation and improved interpretation.
