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ICASSP
2010
IEEE
15 years 7 months ago
A minimax approach to Bayesian estimation with partial knowledge of the observation model
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
Tomer Michaeli, Yonina C. Eldar
ALGORITHMICA
2007
70views more  ALGORITHMICA 2007»
15 years 7 months ago
Sampling Conformation Space to Model Equilibrium Fluctuations in Proteins
This paper proposes the Protein Ensemble Method (PEM) to model equilibrium fluctuations in proteins where fragments of the protein polypeptide chain can move independently of one ...
Amarda Shehu, Cecilia Clementi, Lydia E. Kavraki
BMCBI
2006
120views more  BMCBI 2006»
15 years 7 months ago
A factor analysis model for functional genomics
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Rafal Kustra, Romy Shioda, Mu Zhu
ICIP
1995
IEEE
16 years 8 months ago
Multiresolution model development for overlapping trees via canonical correlation analysis
Recently a class of multiscale stochastic models has been introducedin which Gaussian random processes are described by scale-recursive dynamics that are indexed by the nodes of a...
Paul W. Fieguth, William W. Irving, Alan S. Willsk...
HPCA
2007
IEEE
16 years 7 months ago
Illustrative Design Space Studies with Microarchitectural Regression Models
We apply a scalable approach for practical, comprehensive design space evaluation and optimization. This approach combines design space sampling and statistical inference to ident...
Benjamin C. Lee, David M. Brooks