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JMLR
2010
140views more  JMLR 2010»
13 years 2 days ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman
EMNLP
2008
13 years 6 months ago
A Phrase-Based Alignment Model for Natural Language Inference
The alignment problem--establishing links between corresponding phrases in two related sentences--is as important in natural language inference (NLI) as it is in machine translati...
Bill MacCartney, Michel Galley, Christopher D. Man...
NGITS
1999
Springer
13 years 9 months ago
From Object-Process Diagrams to a Natural Object-Process Language
As the requirements for system analysis and design become more complex, the need for a natural, yet formal way of specifying system analysis findings and design decisions are becom...
Mor Peleg, Dov Dori
KONVENS
1992
13 years 9 months ago
Flexible Semantics Communication in Integrated Speech / Language Architectures
: We consider communication between modules in an integrated architecture for Speech and Natural Language (NL), in particular the communication with the semantics module. In an int...
Abdel Kader Diagne, John Nerbonne
ISIPTA
2005
IEEE
168views Mathematics» more  ISIPTA 2005»
13 years 11 months ago
Approximate Inference in Credal Networks by Variational Mean Field Methods
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution fo...
Jaime Shinsuke Ide, Fabio Gagliardi Cozman