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» Learning from Multiple Annotators with Gaussian Processes
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AIME
2009
Springer
13 years 11 months ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...
COLING
1996
13 years 8 months ago
Generation of Paraphrases from Ambiguous Logical Forms
This paper presents a method for generating multiple paraphrases from ambiguous logical forms. The method is based on a chart structure with edges indexed on semantic information ...
Hadar Shemtov
NAACL
2004
13 years 8 months ago
Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
Katherine Forbes-Riley, Diane J. Litman
MLMI
2007
Springer
14 years 26 days ago
Automatic Annotation of Dialogue Structure from Simple User Interaction
Abstract. In [1], we presented a method for automatic detection of action items from natural conversation. This method relies on supervised classification techniques that are trai...
Matthew Purver, John Niekrasz, Patrick Ehlen
ICASSP
2010
IEEE
13 years 5 months ago
Learning in Gaussian Markov random fields
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
Thomas J. Riedl, Andrew C. Singer, Jun Won Choi