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» Machine Learning with Data Dependent Hypothesis Classes
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ICML
2009
IEEE
14 years 9 months ago
Polyhedral outer approximations with application to natural language parsing
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
André F. T. Martins, Noah A. Smith, Eric P....
ROCAI
2004
Springer
14 years 2 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
ICMLA
2010
13 years 6 months ago
Classification Models with Global Constraints for Ordinal Data
Ordinal classification is a form of multi-class classification where there is an inherent ordering between the classes, but not a meaningful numeric difference between them. Althou...
Jaime S. Cardoso, Ricardo Sousa
NIPS
2001
13 years 10 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
DEXAW
1999
IEEE
152views Database» more  DEXAW 1999»
14 years 1 months ago
Advanced Metrics for Class-Driven Similarity Search
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
Paolo Avesani, Enrico Blanzieri, Francesco Ricci