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» Computation with imprecise probabilities
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169
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AAAI
2011
14 years 3 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
113
Voted
GLOBECOM
2006
IEEE
15 years 9 months ago
Link Performance Bounds in Homogeneous Optically Switched Ring Networks
— We consider a ring topology with limited or full switching capability as deployed in high bandwidth metro optical networks and develop a model to estimate the probability of bl...
Shujia Gong, Bijan Jabbari
99
Voted
UC
2005
Springer
15 years 9 months ago
Quantum Searching Amidst Uncertainty
Consider a database most of whose entries are marked but the precise fraction of marked entries is not known. What is known is that the fraction of marked entries is 1 − , where ...
Lov K. Grover
NIPS
2003
15 years 4 months ago
Robustness in Markov Decision Problems with Uncertain Transition Matrices
Optimal solutions to Markov Decision Problems (MDPs) are very sensitive with respect to the state transition probabilities. In many practical problems, the estimation of those pro...
Arnab Nilim, Laurent El Ghaoui
133
Voted
IJDMB
2007
119views more  IJDMB 2007»
15 years 3 months ago
Simulation study in Probabilistic Boolean Network models for genetic regulatory networks
: Probabilistic Boolean Network (PBN) is widely used to model genetic regulatory networks. Evolution of the PBN is according to the transition probability matrix. Steady-state (lon...
Shuqin Zhang, Wai-Ki Ching, Michael K. Ng, Tatsuya...