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AAAI
2008
13 years 8 months ago
Semi-Supervised Ensemble Ranking
Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance b...
Steven C. H. Hoi, Rong Jin
ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
14 years 8 days ago
Video Annotation by Active Learning and Semi-Supervised Ensembling
Yan Song, Guo-Jun Qi, Xian-Sheng Hua, Li-Rong Dai,...
IJSI
2008
156views more  IJSI 2008»
13 years 6 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
BMCBI
2006
94views more  BMCBI 2006»
13 years 6 months ago
Protein Ranking by Semi-Supervised Network Propagation
Jason Weston, Rui Kuang, Christina S. Leslie, Will...
NIPS
2007
13 years 7 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang