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ISITA
2010
13 years 4 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...
ICDT
2011
ACM
232views Database» more  ICDT 2011»
12 years 9 months ago
(Approximate) uncertain skylines
Given a set of points with uncertain locations, we consider the problem of computing the probability of each point lying on the skyline, that is, the probability that it is not do...
Peyman Afshani, Pankaj K. Agarwal, Lars Arge, Kasp...
EVOW
2010
Springer
14 years 1 months ago
Multi-Objective Probability Collectives
We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to ...
Antony Waldock, David Corne
IPMI
2007
Springer
14 years 7 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
NIPS
2003
13 years 7 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih