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FUIN
2008
108views more  FUIN 2008»
14 years 11 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
WCRE
2008
IEEE
15 years 7 months ago
A Bayesian Network Based Approach for Change Coupling Prediction
Source code coupling and change history are two important data sources for change coupling analysis. The popularity of public open source projects in recent years makes both sourc...
Yu Zhou, Michael Würsch, Emanuel Giger, Haral...
96
Voted
AAAI
2007
15 years 3 months ago
Adaptive Traitor Tracing with Bayesian Networks
The practical success of broadcast encryption hinges on the ability to (1) revoke the access of compromised keys and (2) determine which keys have been compromised. In this work w...
Philip Zigoris, Hongxia Jin
127
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BMCBI
2011
14 years 7 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...
88
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KES
2004
Springer
15 years 6 months ago
Towards Cortex Sized Artificial Nervous Systems
We characterize the size and complexity of the mammalian cortices of human, macaque, cat, rat, and mouse. We map the cortical structure onto a Bayesian confidence propagating neura...
Christopher Johansson, Anders Lansner