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AI
2010
Springer
15 years 4 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
JSS
2007
121views more  JSS 2007»
15 years 4 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»
15 years 4 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
JCB
2002
160views more  JCB 2002»
15 years 4 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
PVLDB
2008
126views more  PVLDB 2008»
15 years 3 months ago
Parallelizing query optimization
Many commercial RDBMSs employ cost-based query optimization exploiting dynamic programming (DP) to efficiently generate the optimal query execution plan. However, optimization tim...
Wook-Shin Han, Wooseong Kwak, Jinsoo Lee, Guy M. L...