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CVPR
2008
IEEE
15 years 7 days ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
ACL
2003
13 years 11 months ago
A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue
We apply a decision tree based approach to pronoun resolution in spoken dialogue. Our system deals with pronouns with NPand non-NP-antecedents. We present a set of features design...
Michael Strube, Christoph Müller
VL
2010
IEEE
216views Visual Languages» more  VL 2010»
13 years 8 months ago
Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, ...
AIED
2011
Springer
13 years 1 months ago
When Does Disengagement Correlate with Learning in Spoken Dialog Computer Tutoring?
We investigate whether an overall student disengagement label and six different labels of disengagement type are predictive of learning in a spoken dialog computer tutoring corpus...
Katherine Forbes-Riley, Diane J. Litman
PROPOR
2010
Springer
173views Languages» more  PROPOR 2010»
13 years 8 months ago
A Machine Learning Approach to Portuguese Clause Identification
Abstract. In this work, we apply and evaluate a machine-learningbased system to Portuguese clause identification. To the best of our knowledge, this is the first machine-learning-b...
Eraldo R. Fernandes, Cícero Nogueira dos Sa...