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ECAI
2008
Springer
15 years 3 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
14 years 11 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 4 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 2 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 5 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...