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An AdaBoost algorithm for multiclass semi-supervised learning Tanha, J.; van Someren, M.W.; Afsarmanesh, H. Abstract-We present an algorithm for multiclass Semi-Supervised learning which is learning from a limited amount of labeled data and plenty of unlabeled data. Existing semisupervised algorithms use approaches such as one-versus-all to convert the multiclass problem to several binary classification problems which is not optimal. We propose a multiclass semisupervised boosting algorithmdoi:10.1109/icdm.2012.119 dblp:conf/icdm/TanhaSA12 fatcat:hrwoirfupngq3jzaagohauvisy