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CORR
2012
Springer
228views Education» more  CORR 2012»
14 years 1 months ago
Active Semi-Supervised Learning using Submodular Functions
Andrew Guillory, Jeff A. Bilmes
NAACL
2007
15 years 7 months ago
A High Accuracy Method for Semi-Supervised Information Extraction
Customization to specific domains of discourse and/or user requirements is one of the greatest challenges for today’s Information Extraction (IE) systems. While demonstrably eff...
Stephen Tratz, Antonio Sanfilippo
CVPR
2009
IEEE
17 years 28 days ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
NIPS
2007
15 years 7 months ago
Statistical Analysis of Semi-Supervised Regression
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
John D. Lafferty, Larry A. Wasserman
FLAIRS
2004
15 years 7 months ago
Semi-Supervised Sequence Classification with HMMs
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
Shi Zhong