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ISSTA
2004
ACM
14 years 3 months ago
Covering arrays for efficient fault characterization in complex configuration spaces
—Many modern software systems are designed to be highly configurable so they can run on and be optimized for a wide variety of platforms and usage scenarios. Testing such systems...
Cemal Yilmaz, Myra B. Cohen, Adam A. Porter
NIPS
2007
13 years 11 months ago
Nearest-Neighbor-Based Active Learning for Rare Category Detection
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
Jingrui He, Jaime G. Carbonell
CORR
2010
Springer
228views Education» more  CORR 2010»
13 years 8 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
BMCBI
2011
13 years 4 months ago
ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring
Background: Since its inception, proteomics has essentially operated in a discovery mode with the goal of identifying and quantifying the maximal number of proteins in a sample. I...
Mi-Youn K. Brusniak, Sung-Tat Kwok, Mark Christian...
BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
14 years 1 months ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li