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ICA
2010
Springer
13 years 7 months ago
Blind Extraction of Intermittent Sources
In this work, we tackle the problem of blind extraction of intermittent sources. Our approach is based on the generalized eigenvector decomposition of covariance matrices and exten...
Bertrand Rivet, Leonardo Tomazeli Duarte, Christia...
FLAIRS
2007
13 years 11 months ago
Lossless Decomposition of Bayesian Networks
In this paper, we study the problem of information preservation when decomposing a single Bayesian network into a set of smaller Bayesian networks. We present a method that lossle...
Dan Wu
AUTOMATICA
2005
105views more  AUTOMATICA 2005»
13 years 9 months ago
Subspace identification of closed loop systems by the orthogonal decomposition method
In this paper, we consider a problem of identifying the deterministic part of a closed loop system by applying the stochastic realization technique of (Signal Process. 52 (2) (199...
Tohru Katayama, Hidetoshi Kawauchi, Giorgio Picci
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 10 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
13 years 7 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang