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IJAR
2006
80views more  IJAR 2006»
13 years 7 months ago
Operations for inference in continuous Bayesian networks with linear deterministic variables
An important class of continuous Bayesian networks are those that have linear conditionally deterministic variables (a variable that is a linear deterministic function of its pare...
Barry R. Cobb, Prakash P. Shenoy
PAM
2005
Springer
14 years 1 months ago
Practical Passive Lossy Link Inference
We propose a practical technique for the identification of lossy network links from end-to-end measurements. Our scheme is based on a function that computes the likelihood of each...
Alexandros Batsakis, Tanu Malik, Andreas Terzis
AAAI
2008
13 years 10 months ago
Latent Tree Models and Approximate Inference in Bayesian Networks
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Yi Wang, Nevin Lianwen Zhang, Tao Chen
BMEI
2008
IEEE
14 years 2 months ago
Using Phylogenetic Relationships to Improve the Inference of Transcriptional Regulatory Networks
Inferring transcriptional regulatory networks from geneexpression data remains a challenging problem, in part because of the noisy nature of the data and the lack of strong networ...
Xiuwei Zhang, Maryam Zaheri, Bernard M. E. Moret
BIOCOMP
2010
13 years 4 months ago
A Network-based Approach to Classify Disease Stages of Prostate Cancer Using Quantitative Network Measures
Abstract-- This study deals with investigating the classification performance of information-theoretic measures when applied to complex biological networks. In particular, our aim ...
Laurin A. J. Mueller, Karl G. Kugler, Andreas Dand...