Hamming Distance

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Protected: Application of Support Vector Machines to Multi-Class Classification

Extension to multi-class classification of support vector machines utilized in digital transformation, artificial intelligence , and machine learning tasks (one-to-other, one-to-one, multi-class classification with two-class classification combinations using error correcting output codes and direct multi-class classification)
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