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» A Hybrid Approach to Adaptive Statistical Language Modeling
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WCNC
2008
IEEE
15 years 10 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...
84
Voted
ACL
2006
15 years 4 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»
15 years 3 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...
138
Voted
BIRTHDAY
2010
Springer
15 years 28 days 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
154
Voted
EDOC
2011
IEEE
14 years 3 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