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» A Bayesian Approach to Semi-Supervised Learning
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101
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CORR
2010
Springer
73views Education» more  CORR 2010»
15 years 2 months ago
Exponential Family Hybrid Semi-Supervised Learning
We present an approach to semi-supervised learning based on an exponential family characterization. Our approach generalizes previous work on coupled priors for hybrid generative/...
Arvind Agarwal, Hal Daumé III
137
Voted
ACL
2008
15 years 4 months ago
Semi-Supervised Convex Training for Dependency Parsing
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
Qin Iris Wang, Dale Schuurmans, Dekang Lin
133
Voted
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 4 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
103
Voted
NAACL
2007
15 years 4 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
155
Voted
ICCV
2007
IEEE
15 years 9 months ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao