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DAGM
2004
Springer
14 years 2 months ago
Learning from Labeled and Unlabeled Data Using Random Walks
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
Dengyong Zhou, Bernhard Schölkopf
ACL
2008
13 years 10 months ago
Sentence Simplification for Semantic Role Labeling
Parse-tree paths are commonly used to incorporate information from syntactic parses into NLP systems. These systems typically treat the paths as atomic (or nearly atomic) features...
David Vickrey, Daphne Koller
ICPR
2008
IEEE
14 years 10 months ago
HOPS: Efficient region labeling using Higher Order Proxy Neighborhoods
We present the Higher Order Proxy Neighborhoods (HOPS) approach to modeling higher order neighborhoods in Markov Random Fields (MRFs). HOPS incorporates more context information i...
Albert Y. C. Chen, Jason J. Corso, Le Wang
CHI
2004
ACM
14 years 9 months ago
Labeling images with a computer game
We introduce a new interactive system: a game that is fun and can be used to create valuable output. When people play the game they help determine the contents of images by provid...
Luis von Ahn, Laura Dabbish
IDA
2005
Springer
14 years 2 months ago
Learning Label Preferences: Ranking Error Versus Position Error
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
Eyke Hüllermeier, Johannes Fürnkranz