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» Bootstrapping statistical parsers from small datasets
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JCB
2007
198views more  JCB 2007»
14 years 11 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
NIPS
2004
15 years 1 months ago
Active Learning for Anomaly and Rare-Category Detection
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Dan Pelleg, Andrew W. Moore
BMCBI
2005
201views more  BMCBI 2005»
14 years 11 months ago
A comparative study of discriminating human heart failure etiology using gene expression profiles
Background: Human heart failure is a complex disease that manifests from multiple genetic and environmental factors. Although ischemic and non-ischemic heart disease present clini...
Xiaohong Huang, Wei Pan, Suzanne Grindle, Xinqiang...
SAC
2005
ACM
15 years 5 months ago
Estimating manifold dimension by inversion error
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
Shawn Martin, Alex Bäcker
WWW
2011
ACM
14 years 6 months ago
Filtering microblogging messages for social TV
Social TV was named one of the ten most important emerging technologies in 2010 by the MIT Technology Review. Manufacturers of set-top boxes and televisions have recently started ...
Ovidiu Dan, Junlan Feng, Brian D. Davison