A VLSI friendly algorithm for support vector machines
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We propose a VLSI friendly algorithm for the implementation of the learning phase of support vector machines (SVM). Differently from previous methods, that rely on sophisticated constrained nonlinear programming algorithms, our approach finds a simple updating rule that can be easily implemented in digital VLSI.
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