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ECAI
2006
Springer
13 years 8 months ago
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?
One problem faced in knowledge engineering for Bayesian networks is the exponential growth of the number of parameters in their conditional probability tables (CPTs). The most comm...
Adam Zagorecki, Marek J. Druzdzel
JMLR
2010
115views more  JMLR 2010»
12 years 11 months ago
Bayesian structure discovery in Bayesian networks with less space
Current exact algorithms for score-based structure discovery in Bayesian networks on n nodes run in time and space within a polynomial factor of 2n . For practical use, the space ...
Pekka Parviainen, Mikko Koivisto
IJCAI
2003
13 years 6 months ago
Optimal Time-Space Tradeoff in Probabilistic Inference
Recursive Conditioning, RC, is an any-space algorithm lor exact inference in Bayesian networks, which can trade space for time in increments of the size of a floating point number...
David Allen, Adnan Darwiche