147 search results - page 25 / 30 » Learning Multi-linear Representations of Distributions for E... |
UAI
2004
13 years 8 months ago
2004
We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-...
TIT
2010
13 years 2 months ago
2010
We present a novel framework to estimate protein-protein (PPI) and domain-domain (DDI) interactions based on a belief propagation estimation method that efficiently computes inter...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
IJCAI
1997
13 years 8 months ago
1997
We study the problemof statisticallycorrect inference in networks whose basic representations are population codes. Population codes are ubiquitous in the brain, and involve the s...
IJCAI
2007
13 years 8 months ago
2007
A formula in first-order logic can be viewed as a tree, with a logical connective at each node, and a knowledge base can be viewed as a tree whose root is a conjunction. Markov l...