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CORR
2004
Springer
133views Education» more  CORR 2004»
13 years 7 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
CORR
2011
Springer
160views Education» more  CORR 2011»
12 years 11 months ago
Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs
Although many algorithms have been designed to construct Bayesian network structures using different approaches and principles, they all employ only two methods: those based on i...
Silvia Acid, Luis M. de Campos
CORR
2012
Springer
281views Education» more  CORR 2012»
12 years 3 months ago
Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization
Compiling Bayesian networks (BNs) to junction trees and performing belief propagation over them is among the most prominent approaches to computing posteriors in BNs. However, bel...
Lu Zheng, Ole J. Mengshoel, Jike Chong
CORR
2011
Springer
199views Education» more  CORR 2011»
12 years 11 months ago
Maximum Gain Round Trips with Cost Constraints
Searching for optimal ways in a network is an important task in multiple application areas such as social networks, co-citation graphs or road networks. In the majority of applicat...
Franz Graf, Hans-Peter Kriegel, Matthias Schubert
ISCAS
2005
IEEE
171views Hardware» more  ISCAS 2005»
14 years 1 months ago
Image transmission over IEEE 802.15.4 and ZigBee networks
An image sensor network platform is developed for testing transmission of images over ZigBee networks that support multi-hopping. The ZigBee is a low rate and low power networking...
G. Pekhteryev, Zafer Sahinoglu, Philip V. Orlik, G...