Titlebook: An Information-Theoretic Approach to Neural Computing; Gustavo Deco,Dragan Obradovic Book 1996 Springer-Verlag New York, Inc. 1996 calculu

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https://doi.org/10.1007/978-3-662-41465-1l physics [8.4–8.7]. In the statistical physics approach an ensemble of neural networks is used to address the problem of generalization of learning from a finite number of noisy training examples. The ensemble treatment of neural networks [8.4–8.7] assumes that the final model is a probabilistic mo

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Die Prognose der Essentiellen Hypertonieuirement has to be built into the training mechanism either by constantly monitoring the behavior of the trained network on an independent data set during learning or by appropriately modifying the cost function. Akaike’s and Rissanen’s methods for formulating cost functions which naturally include

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Linear Feature Extraction: Infomax Principleenables processing of the higher order cognitive functions. Chapter 3 and Chapter 4 focus on the case of linear feature extraction. Linear feature extraction removes redundancy from the data in a linear fashion.

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