Synopsis
A learning machine, broadly defined, is any device whose actions are influenced by past experiences. The present work deals with the theory of a subclass of learning machines, those which can be trained to recognize patterns. Some well known examples of trainable pattern-classifying systems the PERCEPRON and MADALINE and MINOS networks.
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Learning Machines: Foundations of Trainable Pattern-Classifying Systems
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Learning Machines: Foundations of Trainable Pattern-Classifying Systems
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