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» A Probabilistic Applied Pi-Calculus
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IJCAI
2003
13 years 10 months ago
First-order probabilistic inference
Most probabilistic inference algorithms are specified and processed on a propositional level. In the last decade, many proposals for algorithms accepting first-order specificat...
David Poole
UAI
1998
13 years 10 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
IJDMB
2007
119views more  IJDMB 2007»
13 years 9 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...
IJNSEC
2007
127views more  IJNSEC 2007»
13 years 9 months ago
Markov Chain Modelling of the Probabilistic Packet Marking Algorithm
In this work, we show that the current termination condition of the Probabilistic Packet Marking (PPM) algorithm is not correct for general networks, and this implies the estimati...
Tsz-Yeung Wong, John Chi-Shing Lui, Man Hon Wong
CAI
1998
Springer
13 years 8 months ago
Information Retrieval, Imaging and Probabilistic Logic
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
Fabrizio Sebastiani