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JMLR
2008
188views more  JMLR 2008»
13 years 8 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
ISBI
2011
IEEE
13 years 15 days ago
Principal components regression: Multivariate, gene-based tests in imaging genomics
In imaging genomics, there have been rapid advances in genome-wide, image-wide searches for genes that influence brain structure. Most efforts focus on univariate tests that treat...
Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Ne...
RTSS
2007
IEEE
14 years 3 months ago
Integrating Adaptive Components: An Emerging Challenge in Performance-Adaptive Systems and a Server Farm Case-Study
The increased complexity of performance-sensitive software systems leads to increased use of automated adaptation policies in lieu of manual performance tuning. Composition of ada...
Jin Heo, Dan Henriksson, Xue Liu, Tarek F. Abdelza...
BMCBI
2006
183views more  BMCBI 2006»
13 years 8 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
CODES
2006
IEEE
14 years 16 days ago
A unified hardware/software runtime environment for FPGA-based reconfigurable computers using BORPH
This paper presents a hw/sw codesign methodology based on BORPH, an operating system designed for FPGA-based reconfigurable computers (RC's). By providing native kernel suppo...
Hayden Kwok-Hay So, Artem Tkachenko, Robert W. Bro...