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» Kernel methods for learning languages
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108
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INFOCOM
2009
IEEE
15 years 9 months ago
Sensor Network Localization Using Sensor Perturbation
—Sensor network localization is an instance of the NP-HARD graph realization problem. Thus, methods used in practice are not guaranteed to find the correct localization, even if...
Yuanchen Zhu, Steven J. Gortler, Dylan Thurston
101
Voted
IFM
2007
Springer
101views Formal Methods» more  IFM 2007»
15 years 8 months ago
Translating FSP into LOTOS and Networks of Automata
Many process calculi have been proposed since Robin Milner and Tony Hoare opened the way more than 25 years ago. Although they are based on the same kernel of operators, most of th...
Gwen Salaün, Jeff Kramer, Frédé...
KBSE
2010
IEEE
15 years 28 days ago
An automated approach for finding variable-constant pairing bugs
Named constants are used heavily in operating systems code, both as internal flags and in interactions with devices. Decision making within an operating system thus critically de...
Julia L. Lawall, David Lo
121
Voted
EMNLP
2008
15 years 4 months ago
Transliteration as Constrained Optimization
This paper introduces a new method for identifying named-entity (NE) transliterations in bilingual corpora. Recent works have shown the advantage of discriminative approaches to t...
Dan Goldwasser, Dan Roth
117
Voted
LREC
2008
88views Education» more  LREC 2008»
15 years 3 months ago
A Trainable Tokenizer, solution for multilingual texts and compound expression tokenization
Tokenization is one of the initial steps done for almost any text processing task. It is not particularly recognized as a challenging task for English monolingual systems but it r...
Oana Frunza