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JMLR
2010
137views more  JMLR 2010»
14 years 11 months ago
Covariance in Unsupervised Learning of Probabilistic Grammars
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
Shay B. Cohen, Noah A. Smith
ICASSP
2011
IEEE
14 years 8 months ago
Bilingual acoustic modeling with state mapping and three-stage adaptation for transcribing unbalanced code-mixed lectures
This paper presents a bilingual acoustic modeling approach for transcribing Mandarin-English code-mixed lectures with highly unbalanced language distribution. Special terminologie...
Ching-feng Yeh, Liang-Che Sun, Chao-Yu Huang, Lin-...
170
Voted
EDOC
2011
IEEE
14 years 4 months ago
UML Metamodel-based Workflow Modeling and Execution
—In this paper, we present a UML metamodel-based approach for creating and executing workflow models. The modeling language is introduced through its abstract syntax, and an eval...
Jens Brüning, Martin Gogolla
142
Voted
ICDCSW
2007
IEEE
15 years 11 months ago
Using stream queries to measure communication performance of a parallel computing environment
We have developed a data stream management system that supports declarative stream queries running over high data volumes in a supercomputing environment. To enable specification ...
Erik Zeitler, Tore Risch
IEEESCC
2007
IEEE
15 years 11 months ago
A Meta-Model Approach for the Deployment of Services-oriented Applications
This paper presents a meta-model based approach to services applications deployment on constrained Execution Environments (EEs) which contain heterogeneous services implementation...
Antonin Chazalet, Philippe Lalanda