Learning in pattern recognition: some thoughts
Learning in the context of a pattern recognition system is defined as the process that allows it to cope with real and ambiguous data. The various ways by which artificial decision systems operate are discussed in conjunction with their learning aspects.
pattern recognition machine learning uncertainty