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» A Hybrid Approach to Adaptive Statistical Language Modeling
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WCNC
2008
IEEE
14 years 2 months ago
Exploiting Historical Spectrum Occupancy Information for Adaptive Spectrum Sensing
—At present wireless devices are able to select their working frequency only to a limited extend although several measurements have shown that the current spectrum regulations ar...
Matthias Wellens, Alexandre de Baynast, Petri M&au...
ACL
2006
13 years 9 months ago
Scalable Inference and Training of Context-Rich Syntactic Translation Models
Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syntactic approaches seek to reme...
Michel Galley, Jonathan Graehl, Kevin Knight, Dani...
TSP
2008
179views more  TSP 2008»
13 years 8 months ago
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...
BIRTHDAY
2010
Springer
13 years 5 months ago
Some Thoughts on the Semantics of Biocharts
Abstract. This paper combines three topics to which Amir Pnueli contributed significantly: the semantics of languages for concurrency, the semantics of statecharts, and reactive an...
David Harel, Hillel Kugler
EDOC
2011
IEEE
12 years 7 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