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EMNLP
2009
13 years 8 months ago
Language Models Based on Semantic Composition
In this paper we propose a novel statistical language model to capture long-range semantic dependencies. Specifically, we apply the concept of semantic composition to the problem ...
Jeff Mitchell, Mirella Lapata
EMNLP
2009
13 years 8 months ago
Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
Robert C. Moore, Chris Quirk
ISQED
2008
IEEE
101views Hardware» more  ISQED 2008»
14 years 5 months ago
Projection-Based Piecewise-Linear Response Surface Modeling for Strongly Nonlinear VLSI Performance Variations
Large-scale process fluctuations (particularly random device mismatches) at nanoscale technologies bring about highdimensional strongly nonlinear performance variations that canno...
Xin Li, Yu Cao
NIPS
2001
14 years 4 days ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
ICST
2009
IEEE
13 years 8 months ago
An Evaluation of Model Checkers for Specification Based Test Case Generation
Under certain constraints the test case generation problem can be represented as a model checking problem, thus enabling the use of powerful model checking tools to perform the te...
Gordon Fraser, Angelo Gargantini