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» Learning Rare Behaviours
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ICML
2010
IEEE
13 years 6 months ago
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
Zeeshan Syed, Ilan Rubinfeld
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 6 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
WWW
2009
ACM
14 years 6 months ago
Rare item detection in e-commerce site
As the largest online marketplace in the world, eBay has a huge inventory where there are plenty of great rare items with potentially large, even rapturous buyers. These items are...
Dan Shen, Xiaoyuan Wu, Alvaro Bolivar
ACL
2011
12 years 9 months ago
Rare Word Translation Extraction from Aligned Comparable Documents
We present a first known result of high precision rare word bilingual extraction from comparable corpora, using aligned comparable documents and supervised classification. We in...
Emmanuel Prochasson, Pascale Fung
WWW
2010
ACM
14 years 22 days ago
Optimal rare query suggestion with implicit user feedback
Query suggestion has been an effective approach to help users narrow down to the information they need. However, most of existing studies focused on only popular/head queries. Si...
Yang Song, Li-wei He