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» Some Notes on Models and Modelling
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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 5 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
KDD
2003
ACM
133views Data Mining» more  KDD 2003»
16 years 5 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian
SACI
2009
IEEE
15 years 11 months ago
Experiments on a grid layer prototype for shared data programming model
—In the grid context, there is little support for programming paradigms such as shared data or associative programming. We have previously proposed an original idea to attack sha...
Dacian Tudor, Georgiana Macariu, Wolfgang Schreine...
SUM
2009
Springer
15 years 11 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
COMPSAC
2008
IEEE
15 years 11 months ago
Implicit Social Network Model for Predicting and Tracking the Location of Faults
— In software testing and maintenance activities, the observed faults and bugs are reported in bug report managing systems (BRMS) for further analysis and repair. According to th...
Ing-Xiang Chen, Cheng-Zen Yang, Ting-Kun Lu, Hojun...