Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding. (arXiv:2208.04324v1 [cs.LG])

Partial least square regression (PLSR) is a widely-used statistical model to
reveal the linear relationships of latent factors that comes from the
independent variables and dependent variables. However, traditional methods
\ql{ to solve PLSR models are usually based on the Euclidean space, and easily
getting} stuck into a local minimum. To this end, we propose a new method to
solve the partial least square regression, named PLSR via optimization on
bi-Grassmann manifold (PLSRbiGr). \ql{Specifically, we first leverage} the
three-factor SVD-type …

arxiv least lg manifold optimization regression svd type