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» Logic-Based Probabilistic Modeling
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NIPS
2001
15 years 6 months ago
Grammatical Bigrams
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
Mark A. Paskin
COLING
2002
15 years 4 months ago
Integrating Linguistic and Performance-Based Constraints for Assigning Phrase Breaks
The mapping between syntactic structure and prosodic structure is a widely discussed topic in linguistics. In this work we use insights gained from research on syntax-to-prosody m...
Michaela Atterer, Ewan Klein
159
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VTC
2010
IEEE
149views Communications» more  VTC 2010»
15 years 3 months ago
On the Impact of Human Driver Behavior on Intelligent Transportation Systems
—We investigate the impact of the human driver behavior on Intelligent Transportation Systems (ITS). Motivated by early studies, which investigated the driver behavior and which ...
Falko Dressler, Christoph Sommer
148
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ACL
2009
15 years 2 months ago
Improving Tree-to-Tree Translation with Packed Forests
Current tree-to-tree models suffer from parsing errors as they usually use only 1best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model...
Yang Liu, Yajuan Lü, Qun Liu
170
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JMLR
2010
173views more  JMLR 2010»
14 years 11 months ago
Elliptical slice sampling
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...