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TEC
2008
100views more  TEC 2008»
13 years 7 months ago
Real-Valued Compact Genetic Algorithms for Embedded Microcontroller Optimization
Recent research on compact genetic algorithms (cGAs) has proposed a number of evolutionary search methods with reduced memory requirements. In cGAs, the evolution of populations is...
Ernesto Mininno, Francesco Cupertino, David Naso
ICCAD
2006
IEEE
125views Hardware» more  ICCAD 2006»
14 years 4 months ago
Leveraging protocol knowledge in slack matching
Stalls, due to mis-matches in communication rates, are a major performance obstacle in pipelined circuits. If the rate of data production is faster than the rate of consumption, t...
Girish Venkataramani, Seth Copen Goldstein
SIAMIS
2011
13 years 2 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
ICASSP
2011
IEEE
12 years 11 months ago
A Lagrangian dual relaxation approach to ML MIMO detection: Reinterpreting regularized lattice decoding
This paper describes a new approximate maximum-likelihood (ML) MIMO detection approach by studying a Lagrangian dual relaxation (LDR) of ML. Unlike many existing relaxed ML method...
Jiaxian Pan, Wing-Kin Ma
JMLR
2006
124views more  JMLR 2006»
13 years 7 months ago
Policy Gradient in Continuous Time
Policy search is a method for approximately solving an optimal control problem by performing a parametric optimization search in a given class of parameterized policies. In order ...
Rémi Munos