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Everything about CoBoosting
Semi-supervised training algorithm
CoBoost is a semi-supervised training algorithm proposed by Collins and Singer in 1999. The original application for the algorithm was the task of named-entity recognition using very weak learners, but it can be used for performing semi-supervised learning in cases where data features may be redundant. Wikipedia →
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