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AAAI
2008
13 years 7 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»
13 years 11 months 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 5 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 5 months ago
Protein Ranking by Semi-Supervised Network Propagation
Jason Weston, Rui Kuang, Christina S. Leslie, Will...
NIPS
2007
13 years 6 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