498 search results - page 8 / 100 » Learning structured prediction models: a large margin approa... |
EMNLP
2007
14 years 11 months ago
2007
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...
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ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We present a novel approach for structure prediction that addresses the difficulty of obtaining labeled structures for training. We observe that structured output problems often h...
JMLR
2008
14 years 9 months ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
CIVR
2006
Springer
15 years 1 months ago
2006
Springer
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...