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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 3 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
14 years 11 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 4 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
76
Voted
ICCD
1995
IEEE
100views Hardware» more  ICCD 1995»
15 years 1 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 4 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