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- W2897434075 abstract "We propose a caching policy that uses a feedforward neural network (FNN) to predict content popularity. Our scheme outperforms popular eviction policies like LRU or ARC, but also a new policy relying on the more complex recurrent neural networks. At the same time, replacing the FNN predictor with a naive linear estimator does not degrade caching performance significantly, questioning then the role of neural networks for these applications." @default.
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- W2897434075 date "2019-01-25" @default.
- W2897434075 modified "2023-10-14" @default.
- W2897434075 title "Feedforward Neural Networks for Caching" @default.
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- W2897434075 doi "https://doi.org/10.1145/3308897.3308958" @default.
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