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- W1962364105 abstract "We estimate a neural network’s ability to generalize from examples using ideas from statistical mechanics. We discuss the connection between this approach and other powerful concepts from mathematical statistics, computer science, and information theory that are useful in explaining the performance of such machines. For the simplest network, the perceptron, we introduce a variety of learning problems that can be treated exactly by the replica method of statistical physics." @default.
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- W1962364105 title "Statistical Mechanics of Generalization" @default.
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- W1962364105 doi "https://doi.org/10.1007/978-1-4612-0723-8_5" @default.
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