Results 11 to 20 of about 808,073 (285)
Computing approximate PSD factorizations [PDF]
, 2016 We give an algorithm for computing approximate PSD factorizations of nonnegative matrices. The running time of the algorithm is polynomial in the dimensions of the input matrix, but exponential in the PSD rank and the approximation error.
Basu, Amitabh, Dinitz, Michael, Li, Xin
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Approximate computing, intelligent computing [PDF]
IEEE Micro, 2018 Approximate computing could be considered intelligent computing, because it uses energy resources to perform exact computation only when needed and approximate whenever possible.
Eeckhout, Lieven
core +2 more sources
Defensive approximation: securing CNNs using approximate computing [PDF]
Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021 ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2021)
Guesmi, Amira +6 more
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Hierarchical Approximate Bayesian Computation [PDF]
Psychometrika, 2014 Approximate Bayesian computation (ABC) is a powerful technique for estimating the posterior distribution of a model’s parameters. It is especially important when the model to be fit has no explicit likelihood function, which happens for computational (or simulation-based) models such as those that are popular in cognitive neuroscience and other areas ...
Turner, Brandon M., Van Zandt, Trisha
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Approximate Bayesian Computation
PLoS Computational Biology, 2013 ISSN:1553 ...
Sunnåker Mikael +5 more
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Multifidelity Approximate Bayesian Computation [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2020 25 pages plus Supplementary Material (as appendices)
Prescott, T, Baker, R
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Approximate Confidence Distribution Computing
The New England Journal of Statistics in Data Science, 2023 Approximate confidence distribution computing (ACDC) offers a new take on the rapidly developing field of likelihood-free inference from within a frequentist framework. The appeal of this computational method for statistical inference hinges upon the concept of a confidence distribution, a special type of estimator which is defined with respect to the ...
Thornton, Suzanne, Li, W., Xie, M.
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A Direct Reduction from k-Player to 2-Player Approximate Nash Equilibrium [PDF]
, 2010 We present a direct reduction from k-player games to 2-player games that preserves approximate Nash equilibrium. Previously, the computational equivalence of computing approximate Nash equilibrium in k-player and 2-player games was established via an ...
C. Daskalakis +13 more
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Approximation Bayesian computation [PDF]
OA Genetics, 2013 Approximation Bayesian computation [ABC] is an analysis approach that has arisen in response to the recent trend to collect data that is of a magnitude far higher than has been historically the case. This has led to many existing methods become intractable because of difficulties in calculating the likelihood function.
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IEEE Access, 2018 This paper proposes a hybrid deep neural network (DNN) for automatic speech recognition and an energy-efficient reconfigurable architecture with approximate computing for accelerating the DNN.
Bo Liu +5 more
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