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ISITA
2010
13 years 2 months ago
Approximating discrete probability distributions with causal dependence trees
Abstract--Chow and Liu considered the problem of approximating discrete joint distributions with dependence tree distributions where the goodness of the approximations were measure...
Christopher J. Quinn, Todd P. Coleman, Negar Kiyav...
CORR
2011
Springer
165views Education» more  CORR 2011»
12 years 11 months ago
Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes
—We investigate approximating joint distributions of random processes with causal dependence tree distributions. Such distributions are particularly useful in providing parsimoni...
Christopher J. Quinn, Todd P. Coleman, Negar Kiyav...
ICTAI
2003
IEEE
13 years 9 months ago
Approximate Discrete Probability Distribution Representation Using a Multi-Resolution Binary Tree
Computing and storing probabilities is a hard problem as soon as one has to deal with complex distributions over multiples random variables. The problem of efficient representati...
David Bellot, Pierre Bessière
ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 3 days ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
WCNC
2008
IEEE
13 years 11 months ago
Fluid Model of the Outage Probability in Sectored Wireless Networks
— We establish a closed form formula of the other-cell interference factor f for omni-directional and sectored cellular networks, as a function of the location of the mobile. Tha...
Jean Marc Kelif, Marceau Coupechoux, Philippe Godl...