From: Regularized regressions for parametric models based on separated representations
\(\varvec{x_1}\) | \(\varvec{x_2}\) | \(\varvec{x_3}\) | \(\varvec{x_4}\) | \(\varvec{x_5}\) | |
---|---|---|---|---|---|
\(T_0\) | 0 | 0 | 1.3218 | 0.1658 | 0.2213 |
\(T_1\) | 0.369 | 0 | −3.6109 | 0.5287 | 0.3541 |
\(T_2\) | 0 | −0.1236 | 4.387 | 0.1045 | 0.5085 |
\(T_3\) | 0 | 0 | −1.7597 | 0.7351 | 0.3519 |
\(T_4\) | 0 | 0.0649 | 0 | 0 | 0 |
\(T_5\) | −0.1788 | 0 | 0 | 0 | 0 |
\(T_6\) | 0 | 0 | 0 | 0 | 0 |