Abstract data processing model (1)
The model should be adaptive, that is, it should be trained by following an example-based learning procedure.
Such a model should possess expressive and discriminating capabilities.
Expressive capabilities are needed for efficient data representation, that is, for data compression and data abstraction.
For information retrieval, the feature vectors need to be not only compact, but to possess discriminating properties.