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IJCAI
2001
13 years 10 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
ACMICEC
2008
ACM
276views ECommerce» more  ACMICEC 2008»
13 years 11 months ago
A Bayesian network for IT governance performance prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT...
Mårten Simonsson, Robert Lagerström, Po...
AAAI
2007
13 years 11 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
EPIA
2007
Springer
14 years 3 months ago
Human Robot Interaction Based on Bayesian Analysis of Human Movements
We present as a contribution to the field of human-machine interaction a system that analyzes human movements online, based on the concept of Laban Movement Analysis (LMA). The im...
Jörg Rett, Jorge Dias
CIDM
2009
IEEE
14 years 3 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...