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» Modeling the Variability Space of Self-Adaptive Applications
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ICCAD
2006
IEEE
152views Hardware» more  ICCAD 2006»
14 years 4 months ago
Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression
Process variations in modern VLSI technologies are growing in both magnitude and dimensionality. To assess performance variability, complex simulation and performance models param...
Zhuo Feng, Peng Li
CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
14 years 21 days ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen
BMCBI
2004
113views more  BMCBI 2004»
13 years 7 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
CCE
2004
13 years 7 months ago
Continuous reformulations of discrete-continuous optimization problems
This paper treats the solution of nonlinear optimization problems involving discrete decision variables, also known as generalized disjunctive programming (GDP) or mixed-integer n...
Oliver Stein, Jan Oldenburg, Wolfgang Marquardt
ISI
2007
Springer
14 years 2 months ago
An LDA-based Community Structure Discovery Approach for Large-Scale Social Networks
Abstract— Community discovery has drawn significant research interests among researchers from many disciplines for its increasing application in multiple, disparate areas, inclu...
Haizheng Zhang, Baojun Qiu, C. Lee Giles, Henry C....