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ML
2006
ACM
131views Machine Learning» more  ML 2006»
14 years 11 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
CORR
2004
Springer
168views Education» more  CORR 2004»
14 years 11 months ago
Estimating Genome Reversal Distance by Genetic Algorithm
Sorting by reversals is an important problem in inferring the evolutionary relationship between two genomes. The problem of sorting unsigned permutation has been proven to be NP-ha...
Andy Auyeung, Ajith Abraham
TIT
2008
118views more  TIT 2008»
14 years 10 months ago
Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statisti
Abstract--Discrete-input two-dimensional (2-D) Gaussian channels with memory represent an important class of systems, which appears extensively in communications and storage. In sp...
Ori Shental, Noam Shental, Shlomo Shamai, Ido Kant...
LPAR
2010
Springer
14 years 9 months ago
SAT Encoding of Unification in EL
Unification in Description Logics has been proposed as a novel inference service that can, for example, be used to detect redundancies in ontologies. In a recent paper, we have sho...
Franz Baader, Barbara Morawska
ICCV
2009
IEEE
14 years 9 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos