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A Theory of Learning and Generalization (Electronic Workshops in Computing)

M. Vidyasagar




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 | #9212851 in Books |  1997-01-15 | Original language:English | PDF # 1 |  9.75 x6.50 x1.25l, | File type: PDF | 383 pages

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Provides a formal mathematical theory for addressing intuitive questions of the type: How does a machine learn a new concept on the basis of examples? How can a neural network, after sufficient training, correctly predict the output of a previously unseen input? How much training is required to achieve a specified level of accuracy in the prediction? How can one "identify" the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over ...

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