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JMLR
2008
209views more  JMLR 2008»
13 years 9 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
TIT
2008
71views more  TIT 2008»
13 years 9 months ago
Quantization as Histogram Segmentation: Optimal Scalar Quantizer Design in Network Systems
Abstract--An algorithm for scalar quantizer design on discrete-alphabet sources is proposed. The proposed algorithm can be used to design fixed-rate and entropy-constrained convent...
Dan Muresan, Michelle Effros
ISDA
2008
IEEE
14 years 3 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
TMI
2010
123views more  TMI 2010»
13 years 4 months ago
Optimal Experimental Design for Diffusion Kurtosis Imaging
Diffusion Kurtosis Imaging (DKI) is a new magnetic resonance imaging model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI param...
Dirk H. J. Poot, Arnold Jan den Dekker, Eric Achte...
IDEAL
2005
Springer
14 years 2 months ago
Designing an Optimal Network Using the Cross-Entropy Method
Consider a network of unreliable links, each of which comes with a certain price and reliability. Given a fixed budget, which links should be bought in order to maximize the syste...
Sho Nariai, Kin-Ping Hui, Dirk P. Kroese