Many-body approach to the dynamics of batch learning

Using the cavity method and diagrammatic methods, we model the dynamics of batch learning of restricted sets of examples, widely applicable to general learning cost functions, and fully taking into account the temporal correl ations introduced by the recycling of the examples. The approach is illustr ated using the Adaline rule learning teacher-generated or random examples.