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JCDL
2011
ACM
226views Education» more  JCDL 2011»
12 years 11 months ago
Measuring historical word sense variation
We describe here a method for automatically identifying word sense variation in a dated collection of historical books in a large digital library. By leveraging a small set of kno...
David Bamman, Gregory Crane
ALT
2011
Springer
12 years 8 months ago
On Noise-Tolerant Learning of Sparse Parities and Related Problems
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
Elena Grigorescu, Lev Reyzin, Santosh Vempala
JCB
2007
198views more  JCB 2007»
13 years 8 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
BMCBI
2010
89views more  BMCBI 2010»
13 years 8 months ago
Spatial normalization improves the quality of genotype calling for Affymetrix SNP 6.0 arrays
Background: Microarray measurements are susceptible to a variety of experimental artifacts, some of which give rise to systematic biases that are spatially dependent in a unique w...
High-Seng Chai, Terry M. Therneau, Kent R. Bailey,...
BMCBI
2006
146views more  BMCBI 2006»
13 years 8 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara