(2) |

This term for mutual predictability minimization aims at making the outputs independent - similar to the goal of a term for maximizing the determinant of the covariance matrix under Gaussian assumptions (Linsker, 1988). The latter method, however, tends to remove only linear predictability, while the former can remove non-linear predictability as well (even without Gaussian assumptions), due to possible non-linearities learnable by non-linear predictors.

Juergen Schmidhuber 2003-02-13

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