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- W2607768644 abstract "This paper concentrates on the magnitude of parameters of restricted Boltzmann machines (RBMs) being universal approximators. It is known that when an RMB is used to compute a probability distribution with sufficient high accuracy, the magnitude of its parameters must tends to infinite unless the probability has a positive lower bound. In this paper, for any given error and probability, we provide a bound, by which there exits an RBM computing the the probability up to the error with parameters bounded. And the bound depends on the error and the input probability." @default.
- W2607768644 created "2017-05-05" @default.
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- W2607768644 date "2016-12-01" @default.
- W2607768644 modified "2023-09-25" @default.
- W2607768644 title "On the magnitude of parameters of RBMs being universal approximators" @default.
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- W2607768644 doi "https://doi.org/10.1109/icpr.2016.7900007" @default.
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