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ICML
2002
IEEE
14 years 8 months ago
Cranking: Combining Rankings Using Conditional Probability Models on Permutations
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
Guy Lebanon, John D. Lafferty
AAAI
2008
13 years 9 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
ECML
2006
Springer
13 years 11 months ago
A Selective Sampling Strategy for Label Ranking
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Massih-Reza Amini, Nicolas Usunier, Françoi...
AAAI
2007
13 years 9 months ago
TableRank: A Ranking Algorithm for Table Search and Retrieval
Tables are ubiquitous in web pages and scientific documents. With the explosive development of the web, tables have become a valuable information repository. Therefore, effective...
Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles
TNN
2010
127views Management» more  TNN 2010»
13 years 2 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia