478 search results - page 3 / 96 » Structured Prediction with Relative Margin |
JMLR
2010
14 years 4 months ago
2010
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
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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JMLR
2008
14 years 9 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
CORR
2010
Springer
14 years 7 months ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...