a Quantified Network Portrait of a Population
(1) Solution of (1) is to choose the aforementioned eigenvectors of L. The centroid based co-regularization approach as proposed by Kumar et al. [12] formulates the problem of finding a…
(1) Solution of (1) is to choose the aforementioned eigenvectors of L. The centroid based co-regularization approach as proposed by Kumar et al. [12] formulates the problem of finding a…
(1) where ◦ denotes element-wise multiplication. (1) has been shown to provide local maxima of the following non-convex optimization problem [17]: (2)for real-valued, symmetric, and non-negative C. By construction, w…
(1) where β is the d × q regression coefficient matrix. The optimal β obtained by solving (1) is equivalent to regressing each column of Y on X independently. Thus, the relations…