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UAI
1997
15 years 5 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
IJIT
2004
15 years 5 months ago
Formal Verification of a Multicast Protocol In Mobile Networks
As computer network technology becomes increasingly complex, it becomes necessary to place greater requirements on the validity of developing standards and the resulting technology...
Mohammad Reza Matash Borujerdi, S. M. Mirzababaei
PVLDB
2008
134views more  PVLDB 2008»
15 years 3 months ago
Evita raced: metacompilation for declarative networks
Declarative languages have recently been proposed for many new applications outside of traditional data management. Since these are relatively early research efforts, it is import...
Tyson Condie, David Chu, Joseph M. Hellerstein, Pe...
ICASSP
2011
IEEE
14 years 7 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
AI
2000
Springer
15 years 3 months ago
Credal networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Evidence suggests that credal ...
Fabio Gagliardi Cozman