Semilinear predictability minimization produces well-known feature detectors . 10. learner by letting it play against itself is ancient. J. Schmidhuber, M. Eldracher, and B. Foltin. Semilinear predictability minimization produces wellknown feature detectors . ME maximizes code entropy, MMI minimizes the mutual information between code components.
Most current variants require a priori knowledge of the number of independent sources.
Semilinear predictability minimization produces well-known feature detectors . Encouraged by the familiar lococodes obtained in our experiments with visual data we intend to move on to higher dimensional inputs and larger receptive fields. It will also be interesting to test whether successive Lococode stages, each feeding its code into the next, will lead to complex feature detectors such as those discovered in deeper regions of the mammalian visual cortex. Semilinear predictability minimization produces well-known feature detectors . No context found.