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AI
2010
Springer
13 years 5 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
BMCBI
2010
143views more  BMCBI 2010»
13 years 5 months ago
ETE: a python Environment for Tree Exploration
Background: Many bioinformatics analyses, ranging from gene clustering to phylogenetics, produce hierarchical trees as their main result. These are used to represent the relations...
Jaime Huerta-Cepas, Joaquín Dopazo, Toni Ga...
CORR
2010
Springer
190views Education» more  CORR 2010»
13 years 5 months ago
Overlap properties of geometric expanders
The overlap number of a finite (d + 1)-uniform hypergraph H is the largest constant c(H) (0, 1] such that no matter how we map the vertices of H into Rd , there is a point covered...
Jacob Fox, Mikhail Gromov, Vincent Lafforgue, Assa...
JSS
2007
121views more  JSS 2007»
13 years 5 months ago
Opportunistic prioritised clustering framework for improving OODBMS performance
In object oriented database management systems, clustering has proven to be one of the most effective performance enhancement techniques. Existing clustering algorithms are mainly...
Zhen He, Richard Lai, Alonso Marquez, Stephen Blac...
CORR
2004
Springer
133views Education» more  CORR 2004»
13 years 5 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman