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Kernel Computations From Large-Scale Random Features Obtained By Optical Processing Units
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Kernel Computations From Large-Scale Random Features Obtained By Optical Processing Units
Approximating kernel functions with random features (RFs) has been a successful application of random projections for nonparametric estimation. However, performing random projections presents computational challenges for large-scale problems. Recently, a
Approximating kernel functions with random features (RFs) has been a successful application of random projections for nonparametric estimation. However, performing random projections presents computational challenges for large-scale problems. Recently, a
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