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UAI
1998
13 years 9 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
UAI
1997
13 years 9 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
PASTE
2010
ACM
14 years 23 days ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta
CODES
1999
IEEE
14 years 1 hour ago
How standards will enable hardware/software co-design
o much higher levels of abstraction than today's design practices, which are usually at the level of synthesizable RTL for custom hardware or Instruction Set Simulator (ISS) f...
Mark Genoe, Christopher K. Lennard, Joachim Kunkel...
SIGSOFT
2002
ACM
14 years 8 months ago
Isolating cause-effect chains from computer programs
Consider the execution of a failing program as a sequence of program states. Each state induces the following state, up to the failure. Which variables and values of a program sta...
Andreas Zeller