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ECAI
2008
Springer
15 years 6 months ago
Structure Learning of Markov Logic Networks through Iterated Local Search
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
Marenglen Biba, Stefano Ferilli, Floriana Esposito
APVIS
2009
15 years 2 months ago
Contextual picking of volumetric structures
This paper presents a novel method for the interactive identification of contextual interest points within volumetric data by picking on a direct volume rendered image. In clinica...
Peter Kohlmann, Stefan Bruckner, Armin Kanitsar, M...
ACL
2012
13 years 7 months ago
Automatic Event Extraction with Structured Preference Modeling
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...
Wei Lu, Dan Roth
ICML
2005
IEEE
16 years 6 months ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos
AOSE
2006
Springer
15 years 8 months ago
Applying the Governance Framework Technique to Promote Maintainability in Open Multi-Agent Systems
Abstract. Governance means that specifications are enforced dynamically at application runtime. Governance framework is a technique to design and implement an extensible interactio...
Gustavo R. de Carvalho, Carlos José Pereira...