Patent ID: 6347310
Filing Date: 2002-02-12
Classification: G06K,G06N

Abstract:
A computer-implemented method for training an analytical model using a training data set having a size greater than a size of memory available in a computer for a training data set for training the analytical model, comprising:logically dividing the training data set into a plurality of subsets, each having a size at most equal the size of memory available in the computer for a training data set; selecting a first subset of the data set; storing the first subset in memory available in the computer for a training data set; training the analytical model using the first subset as the training data set; selecting at least one additional subset of the data set and storing the at least one additional subset in the memory available in the computer for a training data set; retraining the trained analytical model using the at least one additional subset as the training data set, such that the retrained analytical model represents training performed using the first subset and the at least one additional subset.