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RSFDGRC
2007
Springer
236views Data Mining» more  RSFDGRC 2007»
14 years 1 months ago
Constructing Associative Classifier Using Rough Sets and Evidence Theory
Constructing accurate classifier based on association rule is an important and challenging task in data mining. In this paper, a novel combination strategy based on rough sets (RST...
Yuan-Chun Jiang, Ye-Zheng Liu, Xiao Liu, Jie-Kui Z...
FUIN
2006
160views more  FUIN 2006»
13 years 7 months ago
Behavioral Pattern Identification Through Rough Set Modeling
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...
Jan G. Bazan
TR
2010
140views Hardware» more  TR 2010»
13 years 2 months ago
Modeling Failure Modes for Residual Life Prediction Using Stochastic Filtering Theory
This paper reports on a theoretical Bayesian modeling development for residual life prediction in the context of condition-based maintenance. At each monitoring point during a comp...
Matthew J. Carr, Wenbin Wang
CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 7 months ago
Binding bigraphs as symmetric monoidal closed theories
Milner's bigraphs [1] are a general framework for reasoning about distributed and concurrent programming languages. Notably, it has been designed to encompass both the -calcul...
Tom Hirschowitz, Aurélien Pardon
CISS
2008
IEEE
14 years 1 months ago
Information theory based estimator of the number of sources in a sparse linear mixing model
—In this paper we present an Information Theoretic Estimator for the number of sources mutually disjoint in a linear mixing model. The approach follows the Minimum Description Le...
Radu Balan