Sem-i supervised learning has been w idely used in the w orld and become a hot topic in the resear ch field of machine learning and pattern recog nit ion. T he paper summarizes the basic assumption, the resear ch situat ion at present , and the alg orithms w hich w as used to reso lve some pract ical pro blems. Main dif f icu-l t ies and the questio ns w hich w ill be solved in the future are also show n.

Semsupervised learning.pdf

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