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» Model Combination for Machine Translation
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126
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CVPR
2005
IEEE
16 years 4 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
117
Voted
EMNLP
2010
15 years 17 days ago
A Fast Fertility Hidden Markov Model for Word Alignment Using MCMC
A word in one language can be translated to zero, one, or several words in other languages. Using word fertility features has been shown to be useful in building word alignment mo...
Shaojun Zhao, Daniel Gildea
160
Voted
ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 9 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
BMCBI
2004
113views more  BMCBI 2004»
15 years 2 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
GI
2009
Springer
15 years 10 days ago
Specification based testing of automotive human machine interfaces
Abstract: Model based testing promises systematic test coverage in a continuous testing process. However, in practice, model based testing struggles with informal specifications, d...
Holger Grandy, Sebastian Benz