27 search results - page 1 / 6 » Improving Semi-Supervised Support Vector Machines Through Un... |
170
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AAAI
2011
14 years 3 months ago
2011
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
152
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ICPR
2006
IEEE
15 years 9 months ago
2006
IEEE
In this study, we propose an improved semi-supervised support vector machine (SVM) based translation algorithm for brain-computer interface (BCI) systems, aiming at reducing the t...
143
Voted
NAACL
2007
15 years 5 months ago
2007
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
136
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EMNLP
2010
15 years 1 months ago
2010
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
164
Voted
ICCV
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...