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Support Vector Machine (SVM) is an important statistical machine learning algorithm, among which SMO algorithm is one of the effective application methods. SMO algorithm decomposes the problem of support vector machine into smaller problems to minimize the sequence. Through the introduction of SMO algorithm and the analysis and summary of the problems, this paper explores the corresponding SMO optimization algorithm, hoping to provide theoretical support for future research.

Support Vector Machine SMO Algorithms and Their Optimization