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What is 2 Co Training about?

The document discusses semi-supervised learning, particularly co-training, which combines labeled and unlabeled data for improved machine learning outcomes. It outlines various paradigms such as transductive learning, active learning, and multi-view learning, emphasizing the importance of leveraging unlabeled data. Additionally, it highlights the assumptions and algorithms related to co-training, along with its applications in fields like document classification and image retrieval.

Author

yoviso2057

Language

EN