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BIB
2007
108views more  BIB 2007»
13 years 10 months ago
Bayesian methods in bioinformatics and computational systems biology
Bayesian methods are valuable, inter alia, whenever there is a need to extract information from data that is uncertain or subject to any kind of error or noise (including measurem...
Darren J. Wilkinson
ICPR
2010
IEEE
14 years 3 months ago
2D Shape Recognition Using Information Theoretic Kernels
In this paper, a novel approach for contour-based 2D shape recognition is proposed, using a recently introduced class of information theoretic kernels. This kind of kernels, based...
Manuele Bicego, André Filipe Torres Martins, Vitt...
CORR
2004
Springer
140views Education» more  CORR 2004»
13 years 9 months ago
Capacity Analysis for Continuous Alphabet Channels with Side Information, Part II: MIMO Channels
In this part, we consider the capacity analysis for wireless mobile systems with multiple antenna architectures. We apply the results of the first part to a commonly known baseban...
Majid Fozunbal, Steven W. McLaughlin, Ronald W. Sc...
ICCAD
2006
IEEE
127views Hardware» more  ICCAD 2006»
14 years 6 months ago
Joint design-time and post-silicon minimization of parametric yield loss using adjustable robust optimization
Parametric yield loss due to variability can be effectively reduced by both design-time optimization strategies and by adjusting circuit parameters to the realizations of variable...
Murari Mani, Ashish Kumar Singh, Michael Orshansky
KDD
2002
ACM
106views Data Mining» more  KDD 2002»
14 years 10 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava