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» Information Bottleneck for Gaussian Variables
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BMCBI
2008
85views more  BMCBI 2008»
14 years 10 months ago
Normalizing biomedical terms by minimizing ambiguity and variability
Background: One of the difficulties in mapping biomedical named entities, e.g. genes, proteins, chemicals and diseases, to their concept identifiers stems from the potential varia...
Yoshimasa Tsuruoka, John McNaught, Sophia Ananiado...
CSDA
2007
128views more  CSDA 2007»
14 years 10 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
TIP
2008
133views more  TIP 2008»
14 years 10 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
SLSFS
2005
Springer
15 years 3 months ago
Auxiliary Variational Information Maximization for Dimensionality Reduction
Abstract. Mutual Information (MI) is a long studied measure of information content, and many attempts to apply it to feature extraction and stochastic coding have been made. Howeve...
Felix V. Agakov, David Barber
CORR
2006
Springer
99views Education» more  CORR 2006»
14 years 10 months ago
A New Approach for Capacity Analysis of Large Dimensional Multi-Antenna Channels
This paper adresses the behaviour of the mutual information of correlated MIMO Rayleigh channels when the numbers of transmit and receive antennas converge to + at the same rate. ...
Walid Hachem, Oleksiy Khorunzhiy, Philippe Loubato...