The Effects of Quantization On Support Vector Machines Using Polynomial Kernel
نویسنده
چکیده
Abstract—In this paper, we apply a probabilistic method to predict the effect of quantization in a digital implementation of a Support Vector Machine (SVM). the quantization effects taken into consideration are both, input data and calculations done inside the processor. We derived a closed-form expression for these effects for an SVM using a 2 order polynomial Kernel and matched it with simulations.
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