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Showing 1 to 1 of 1 for “"it still costs O(n2) computation time. In our SVM implementation"”.

  1. Distributed Support Vector Machine With Graphics Processing Units

    Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) optimization problem. Sequential Minimal Optimization (SMO) is a decomposition-based algorithm which breaks this large QP problem into a series of smallest possible QP problems. However, it

    uno Repository record for Distributed Support Vector Machine With Graphics Processing Units (opens in a new tab)