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» Machine Learning Approaches for Inducing Student Models
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140
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EMNLP
2008
15 years 4 months ago
Discriminative Learning of Selectional Preference from Unlabeled Text
We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
Shane Bergsma, Dekang Lin, Randy Goebel
112
Voted
ECCV
2010
Springer
15 years 7 months ago
Stacked Hierarchical Labeling
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
126
Voted
AAI
1999
125views more  AAI 1999»
15 years 2 months ago
Deictic Believability: Coordinated Gesture, Locomotion, and Speech in Lifelike Pedagogical Agents
Lifelike animated agents for knowledge-based learning environments can provide timely, customized advice to support students' problem solving. Because of their strong visual ...
James C. Lester, Jennifer L. Voerman, Stuart G. To...
ML
2008
ACM
134views Machine Learning» more  ML 2008»
15 years 2 months ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...
117
Voted
ICML
2007
IEEE
16 years 3 months ago
Statistical predicate invention
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...
Stanley Kok, Pedro Domingos