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Showing 1 to 1 of 1 for “"Probabilistic error models"”.
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Design of robust ultra-low power platform for in-silicon machine learning
… this dissertation proposes to employ statistical error compensation (SEC) as an effective error compensation technique. This dissertation makes a contribution to the portfolio of SEC by proposing embedded algorithmic noise tolerance (E-ANT) for low overhead error compensation. E-ANT operates by …