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IJAR
2006
89views more  IJAR 2006»
15 years 6 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
ACL
2009
15 years 4 months ago
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
Gregory Druck, Gideon S. Mann, Andrew McCallum
ACL
2004
15 years 8 months ago
Applying Machine Learning to Chinese Temporal Relation Resolution
Temporal relation resolution involves extraction of temporal information explicitly or implicitly embedded in a language. This information is often inferred from a variety of inte...
Wenjie Li, Kam-Fai Wong, Guihong Cao, Chunfa Yuan
WORDS
2003
IEEE
15 years 12 months ago
Weaving Aspects into Real-Time Operating System Design Using Object-Oriented Model Transformation
Despite of the proliferation of object-oriented and component technology, their application to real-time operating systems (RTOS) has been limited since most design concerns in RT...
Jiyong Park, Saehwa Kim, Seongsoo Hong
INTERWORKING
2000
15 years 10 months ago
Modelling and Performance Evaluation of a National Scale Switchless Based Network
In a packet switching based scenario, optical technologies can not completely overcome the problem of insufficient network capacity, due to limitations produced by the presence of ...
Josep Solé-Pareta, Davide Careglio, Salvato...