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» On Conditions for Linearity of Optimal Estimation
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GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 5 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
ESANN
2008
15 years 1 months ago
Linear Projection based on Noise Variance Estimation - Application to Spectral Data
In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...
Amaury Lendasse, Francesco Corona
DATE
2009
IEEE
101views Hardware» more  DATE 2009»
15 years 6 months ago
Static analysis to mitigate soft errors in register files
—With continuous technology scaling, soft errors are becoming an increasingly important design concern even for earth-bound applications. While compiler approaches have the poten...
Jongeun Lee, Aviral Shrivastava
ICCD
1995
IEEE
100views Hardware» more  ICCD 1995»
15 years 3 months ago
Transformation of min-max optimization to least-square estimation and application to interconnect design optimization
This paper describes a novel approach to nd a tighter bound of the transformation of the Min-Max problems into the one of Least-Square Estimation. It is well known that the above ...
Jimmy Shinn-Hwa Wang, Wayne Wei-Ming Dai
MP
2011
14 years 6 months ago
Null space conditions and thresholds for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi