745 search results - page 6 / 149 » A Preference Model for Structured Supervised Learning Tasks |
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ML
2002
ACM
14 years 9 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
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OSDI
2008
ACM
15 years 9 months ago
2008
ACM
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering a...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
EMNLP
2007
14 years 11 months ago
2007
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
NIPS
2003
14 years 11 months ago
2003
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...