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NIPS
2007
13 years 9 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
ICSE
2012
IEEE-ACM
11 years 9 months ago
What make long term contributors: Willingness and opportunity in OSS community
—To survive and succeed, software projects need to attract and retain contributors. We model the individual’s chances to become a valuable contributor through her capacity, wil...
Minghui Zhou, Audris Mockus
DATAMINE
2007
101views more  DATAMINE 2007»
13 years 7 months ago
Using metarules to organize and group discovered association rules
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...
Abdelaziz Berrado, George C. Runger
RECOMB
2007
Springer
14 years 7 months ago
An Efficient and Accurate Graph-Based Approach to Detect Population Substructure
Currently, large-scale projects are underway to perform whole genome disease association studies. Such studies involve the genotyping of hundreds of thousands of SNP markers. One o...
Srinath Sridhar, Satish Rao, Eran Halperin
CVPR
2007
IEEE
14 years 1 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao