Learning and Generalisation

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How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.

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Produktinformation

Artikelnummer 9781852333737
Autor Vidyasagar, Mathukumalli
Einband C, Electrical Engineering, Control and Systems Theory, Systems Theory, Control, Probability Theory and Stochastic Processes, Group Theory and Generalizations, Computer Communication Networks, Electrical and Electronic Engineering, Probability Theory, engineering, Control engineering, System Theory, Probabilities, Group Theory, Computer communication systems, Automatic control engineering, Cybernetics & systems theory, Probability & statistics, Stochastics, Groups & group theory, Network hardware, Network hardware, Fester Einband
Sprache eng
Anzahl Seiten 488
Verlag Springer Nature EN
Reihe Communications and Control Engineering
Jahr 2002

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