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» Memory-Efficient Inference in Relational Domains
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BMCBI
2007
146views more  BMCBI 2007»
13 years 7 months ago
Spatial location and its relevance for terminological inferences in bio-ontologies
Background: An adequate and expressive ontological representation of biological organisms and their parts requires formal reasoning mechanisms for their relations of physical aggr...
Stefan Schulz, Kornél G. Markó, Udo ...
IJCAI
2001
13 years 8 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
JAIR
2010
145views more  JAIR 2010»
13 years 5 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
ACL
2011
12 years 11 months ago
A Bayesian Model for Unsupervised Semantic Parsing
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
Ivan Titov, Alexandre Klementiev
DEXA
2004
Springer
70views Database» more  DEXA 2004»
14 years 24 days ago
How to Model Visual Knowledge: A Study of Expertise in Oil-Reservoir Evaluation
This work presents a study of the nature of expertise in geology, which demands visual recognition methods to describe and interpret petroleum reservoir rocks. In an experiment usi...
Mara Abel, Laura S. Mastella, Luís A. Lima ...