Semi-supervised condensed nearest neighbor

Semi-supervised condensed nearest neighbor is a semi-supervised learning for memory-based learning, exploiting both labeled and unlabeled data. The algorithm combines self-training and training set condensation. The algorithm was implemented in Orange 2.0b for Mac OS X. The code is available here.

Publications

Soegaard, Anders. 2011. Semi-supervised condensed nearest neighbor for part-of-speech tagging. The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT). Portland, Oregon.


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