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» Formalization of Continuous Probability Distributions
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KI
2007
Springer
13 years 11 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
ISIPTA
2005
IEEE
125views Mathematics» more  ISIPTA 2005»
13 years 11 months ago
Imprecise probability models for inference in exponential families
When considering sampling models described by a distribution from an exponential family, it is possible to create two types of imprecise probability models. One is based on the co...
Erik Quaeghebeur, Gert de Cooman
CVPR
2009
IEEE
15 years 16 days ago
P-Brush: Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation
Interactive image segmentation traditionally involves the use of algorithms such as Graph Cuts or Random Walker. Common concerns with using Graph Cuts are metrication artifacts ...
Dheeraj Singaraju, Leo Grady, René Vidal
CSDA
2004
191views more  CSDA 2004»
13 years 5 months ago
Computing the distribution of the product of two continuous random variables
We present an algorithm for computing the probability density function of the product of two independent random variables, along with an implementation of the algorithm in a compu...
Andrew G. Glen, Lawrence Leemis, John H. Drew
NIPS
2000
13 years 6 months ago
Learning Continuous Distributions: Simulations With Field Theoretic Priors
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Ilya Nemenman, William Bialek