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Theoretical Advances in Neural Computation and Learning
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Authors: Vwani Roychowdhury
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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For any research field to have a lasting impact, there must be a firm theoretical foundation. Neural networks research is no exception. Some of the founda tiona
Analogical Connections
Language: en
Pages: 520
Authors: Keith James Holyoak
Categories: Computers
Type: BOOK - Published: 1994 - Publisher: Intellect (UK)

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Presenting research on the computational abilities of connectionist, neural, and neurally inspired systems, this series emphasizes the question of how connectio
Advances in Neural Computation, Machine Learning, and Cognitive Research
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Authors: Boris Kryzhanovsky
Categories: Computers
Type: BOOK - Published: 2018-05-12 - Publisher: Springer

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This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learn
Neural Network Learning
Language: en
Pages: 405
Authors: Martin Anthony
Categories: Computers
Type: BOOK - Published: 1999-11-04 - Publisher: Cambridge University Press

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This work explores probabilistic models of supervised learning problems and addresses the key statistical and computational questions. Chapters survey research
Neural Networks and Analog Computation
Language: en
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Authors: Hava T. Siegelmann
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer consisting of multiple asse