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JMLR
2002
111views more  JMLR 2002»
14 years 9 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
BMCBI
2010
94views more  BMCBI 2010»
14 years 9 months ago
Comparison study of microarray meta-analysis methods
Background: Meta-analysis methods exist for combining multiple microarray datasets. However, there are a wide range of issues associated with microarray meta-analysis and a limite...
Anna Campain, Yee Hwa Yang
78
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ICRA
2008
IEEE
119views Robotics» more  ICRA 2008»
15 years 4 months ago
Vibration-based terrain classification using surface profile input frequency responses
—Terrain variations can greatly influence autonomous ground vehicle (AGV) performance. However, if the terrain is properly identified, the AGV control systems can be adjusted to ...
Emmanuel G. Collins Jr., Eric Joe Coyle
BMCBI
2004
158views more  BMCBI 2004»
14 years 9 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
WSC
2000
14 years 11 months ago
Low cost response surface methods for and from simulation optimization
We propose "low cost response surface methods" (LCRSM) that typically require half the experimental runs of standard response surface methods based on central composite ...
Theodore Allen, Liyang Yu