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NIPS
2008
15 years 8 months ago
Global Ranking Using Continuous Conditional Random Fields
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
NAACL
2007
15 years 8 months ago
Can Semantic Roles Generalize Across Genres?
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to...
Szu-ting Yi, Edward Loper, Martha Palmer
IADIS
2003
15 years 8 months ago
Versioning of E-Learning Objects Enabling Flexible Reuse
One promise that has always been made in the field of e-learning is the possibility to create and deliver learning material that is adaptable to individual learners. Realising thi...
Wolfgang Theilmann, Michael Altenhofen
AAAI
2000
15 years 8 months ago
Interactive Training for Synthetic Characters
Compelling synthetic characters must behave in ways that reflect their past experience and thus allow for individual personalization. We therefore need a method that allows charac...
Song-Yee Yoon, Robert C. Burke, Bruce Blumberg, Ge...
DAGSTUHL
1994
15 years 8 months ago
Function-Based Object Recognition
Functionality-based recognition systems recognize objects at the category level by reasoning about how well the objects support the expected function. Such systems naturally assoc...
Louise Stark, Kevin W. Bowyer