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IJAR
2006
89views more  IJAR 2006»
15 years 4 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
IWANN
2009
Springer
15 years 11 months ago
Data Mining in Complex Diseases Using Evolutionary Computation
Abstract. A new algorithm is presented for finding genotype-phenotype association rules from data related to complex diseases. The algorithm was based on Genetic Algorithms, a tech...
Vanessa Aguiar, Jose A. Seoane, Ana Freire, Cristi...
ICPADS
2006
IEEE
15 years 10 months ago
Snap-Stabilizing PIF and Useless Computations
A snap-stabilizing protocol, starting from any configuration, always behaves according to its specification. In other words, a snap-stabilizing protocol is a self-stabilizing pr...
Alain Cournier, Stéphane Devismes, Vincent ...
JMLR
2006
103views more  JMLR 2006»
15 years 4 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
IADIS
2004
15 years 5 months ago
Moginma: an autonomous grid node monitoring agent
The accelerated development in grid computing has positioned it as a promising next generation computing platform. It enables the creation of virtual organizations (VO) for sharin...
Arshad Ali, Fawad Nazir, Hamid Abbas Burki, Tallat...