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KES
2004
Springer
14 years 5 months ago
Semi-supervised Learning from Unbalanced Labeled Data - An Improvement
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...
Te Ming Huang, Vojislav Kecman