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» Flexible and efficient implementations of Bayesian independe...
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99
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JMLR
2002
160views more  JMLR 2002»
14 years 10 months ago
Kernel Independent Component Analysis
We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On th...
Francis R. Bach, Michael I. Jordan
85
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BMCBI
2010
147views more  BMCBI 2010»
14 years 10 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
ICA
2007
Springer
15 years 2 months ago
Compact Representations of Market Securities Using Smooth Component Extraction
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
Hariton Korizis, Nikolaos Mitianoudis, Anthony G. ...
IPPS
2000
IEEE
15 years 2 months ago
A Component Framework for Communication in Distributed Applications
The development of communications services for distributed applications that are both well-structured (layered) and efficient can be difficult. This paper presents a C++ framework...
Jeffrey M. Fischer, Milos D. Ercegovac