Learning from correlated examples in a perceptron
Wojciech Tarkowski, Maciej Lewenstein · Journal of Physics A Mathematical and General · 1993
Using the replica method the authors investigate learning from correlated data in a perceptron. Both types of association-'spatial'-within each example, and 'semantic'-among the different ones-are considered for both Boolean and continuous weights and output functions. 'Spatial' correlations of data may significantly improve the learning properties, whereas the 'semantic' ones do not practically influence them.