We present a primal sub-gradient method for structured SVM optimization defined with the averaged sum of hinge losses inside each example. Compared with the mini-batch version of the Pegasos algorithm for the structured case. which deals with a single structure from each of multiple examples. our algorithm considers multiple structures from a single example in one update. https://fitnessgravesyardes.shop/product-category/ipad-holder/
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