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CORR
2006
Springer
76views Education» more  CORR 2006»
13 years 9 months ago
The Quantum Separability Problem for Gaussian States
Determining whether a quantum state is separable or entangled is a problem of fundamental importance in quantum information science. This is a brief review in which we consider th...
Stefano Mancini, Simone Severini
ISCI
2008
130views more  ISCI 2008»
13 years 9 months ago
Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms
Multivariate Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs), and covariance matrix plays the essential role in guiding the evolution...
Weishan Dong, Xin Yao
TSP
2008
166views more  TSP 2008»
13 years 8 months ago
Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds
In this paper, we consider the problem of estimating an unknown deterministic parameter vector in a linear regression model with random Gaussian uncertainty in the mixing matrix. W...
Ami Wiesel, Yonina C. Eldar, Arie Yeredor
CORR
2004
Springer
102views Education» more  CORR 2004»
13 years 8 months ago
Mutual Information and Minimum Mean-square Error in Gaussian Channels
Abstract--This paper deals with arbitrarily distributed finitepower input signals observed through an additive Gaussian noise channel. It shows a new formula that connects the inpu...
Dongning Guo, Shlomo Shamai, Sergio Verdú
NCA
2002
IEEE
13 years 8 months ago
Comparison of Algorithmic and Machine Learning Approaches for the Automatic Fitting of Gaussian Peaks
Fitting gaussian peaks to experimental data is important in many disciplines, including nuclear spectroscopy. Nonlinear least squares fitting methods have been in use for a long t...
Radwan E. Abdel-Aal